Associate Professor
University Mohamed V in Rabat, Mohammadia School of Engineers
Bio
Ghassane Aniba (IEEE: S'03–M'10–SM'17) received the Ph.D degree in telecommunications from Institut National de la Recherche Scientifique - Energy, Materials and Telecommunications (INRS-EMT), Montreal, Canada, in 2010, and the Dipl.-Ing. degree in telecommunication engineering from the Institut National des Postes et Télécommunications (INPT), Rabat, Morocco, in 2002. In 2010, after a postdoctoral position at King Abdullah University of Science and Technology (KAUST), KSA, he joined Ecole Mohammadia d’ingénieurs (EMI), Rabat, Morocco, where he is currently an Associate Professor in Electrical and Telecommunication Engineering. He was the chair of the cooperative techniques and relays session at the 20th International Conference on Telecommunications 2013. He is the principal coordinator of the IRESEN MicroCSP project (2014-2017) within the InnoTherm III call for projects. His current research interests include Smart Grids, traffic modelling in green cognitive networks, cooperative wireless networks and wireless sensor networks.
Academic Positions
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Present Oct 2014
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Oct 2014 Oct 2010
Assistant Professor
University Mohamed V in Rabat, Mohammadia School of Engineers
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Oct 2010 Apr 2010
Postdoctoral fellow
King Abdullah University of Science and Technology (KAUST), Electrical Department
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Mar 2010 Jan 2010
Postdoctoral fellow
Ottawa University, Electrical Department
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Dec 2009 Apr 2009
Postdoctoral fellow
Laval University, Electrical Department
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2008 2003
Research Assistant
University of Quebec, Insitut National de la Recherche Scientifique - Centre Énergie Matériaux Télécommunications
Education & Training
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Ph.D. 2009
Ph.D. in Telecomunications
University of Quebec, Insitut National de la Recherche Scientifique
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MSc2003
Master in Telecomunications, Direct PhD
University of Quebec, Insitut National de la Recherche Scientifique
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B.Eng.2002
State Engneering Degree in Telecommunications
Institut National des Postes et Telecommunications (INPT)
Honors, Awards and Grants
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May 2015Scholarship within the EU METALIC II Staff mobility
Academic Staff position at the Electrical, Electronis and Information engineering “Gugliemo Marconi" - University of Bologna, Italy. -
2009FQRNT Postdoctoral Fellowship
Fonds Québécois de la Recherche sur la Nature et les Technologies (FQRNT) -
2008Industrial Research and Development Fellowship (Declined)
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2008Visiting Fellowship in Canadian Government Laboratories (Declined)
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2006IEEE Student Travel Grant
IEEE International Conference on Communications (ICC)
Research Summary
Member of the Smart Communications Research Team (ERSC) at Mohammadia School of Engineers (EMI) with current research interests related to national and international issues, including smart grids, smart transport, traffic modelling in green cognitive networks, cooperative wireless networks and wireless sensor networks.
Interests
- Cooperative Wireless Networks
- Wireless sensor networks
- Quality of Service in Wireless Communications
- Smart Grids
- Smart Transport
- Traffic Modeling
Research Projects
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The overall objective of the project is to study the contribution of CSP with storage in the increase of penetration rate of renewable energy in the national electric grid while keeping a high stability of the system. After scientific studies and development of management algorithms, tests will be applied to a small scale replica of a realistic scenario (large scale) using a unique MicroCSP platform (6.5kW), with parabolic and flat CSP technologies, in conjunction with a PV Platform (6kW) that will be installed at Mohammadia School of Engineers (EMI) in Rabat.
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The impetuous development of ICT solutions is enriching our homes and public buildings of devices and other manufactures equipped with sensing and computation capabilities with the aim of collecting and processing information from the environment to allow a more efficient use of the resources (for instance, power and materials) and increase quality of life. In this scenario the concept of “smart city” is merged with the paradigm of “internet of things” where thousands of devices exploit the network infrastructure for control and/or monitoring purposes. In our scenarios, we focus on the problem of how to send efficiently the data collected by the various sensing elements of the buildings to remote data fusion centers where the information is conveyed and processed.
Selected Publications
Please find below a complete of all my research publications including conference and journal papers.
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Gradual Faults Diagnosis by a Novel Impedance Characterization Method
Conference PaperIn Proc. IEEE 12th International Renewable Engineering Conference (IREC'21)
, Amman, Jordan, 14-15 Apr. 2021.
Abstract
This paper presents a novel photovoltaic impedance characterization method aiming to evaluate the state and gradual decrease of photovoltaic (PV) panel health. The big challenge to meet for the PV panels is to guarantee their robust and reliable functioning, and specially maintain their efficient yield as long as possible, which imply that a real-time diagnose is mandatory to detect rapidly the faults that may occur on PV plants and then react effectively. This study developed a novel method that allows not only to detect, locate and recognize the type of PV defects on an already installed PV plant, but also to measure the discordance between the manufacturer PV datasheet and the real performance of the PV panel once received from the supplier. The impedance characterization is a new analytical and criterion method that uses the Photovoltaic Plant Reflectometry Profile (PPRP) in order to measure exactly any discordance between an ideal state PV module and a defective one, and, even detect multiple faults in a string of connected PV modules. Simulation results show that the proposed method is a valid one that detects any type of PV faults.
Formalizing Ontologies for AI Models Validation: from OWL to Event-B
Conference PaperIn Proc. IEEE 15th International Conference on Semantic Computing (ICSC'21)
, Park City, Utah, USA, 27-29 Jan. 2021.
Abstract
Quality data is of decisive importance for controlling critical cyber-physical systems. Most common real-life systems are driven by unstructured, decentralized, and growing amounts of data, while validation requires coherent data, that is well structured, consistent, and without ambiguities. Often, ontologies are well-suited for capturing domain knowledge data, deriving requirements, providing analysis, and developing applications. Still, ontological representations fall short when it comes to formal verification and validation, especially for large complex systems. In this research, we suggest a fully automated approach to transform ontology axioms, expressed in the Web Ontology Language (OWL), to Event-B predicates. We show, in a practical example, how bridging OWL to Event-B can scale the validation of ontology-driven AI systems.
Model-based Predictive Control for Optimal MicroCSP Operation Integrated with Building HVAC Systems
Journal PaperElectronics, vol. 199, Nov. 2019.
Abstract
This paper presents a model predictive control (MPC) framework to minimize the energy consumption and the energy cost of the building heating, ventilation, and air-conditioning (HVAC) system integrated with a micro-scale concentrated solar power (MicroCSP) system that cogenerates electricity and heat. The mathematical model of a MicroCSP system is derived and integrated into the building thermal model of an office building at Michigan Technological University. Then, the MPC framework is used to optimize thermal energy storage (TES) system usage, the energy conversion in the Organic Rankine Cycle (ORC), and the thermal energy flows to the HVAC system. The MPC results for energy and cost savings show the significance of understanding system dynamics and designing a real-time predictive controller to maximize the benefits of MicroCSP thermal and electrical energies production. Indeed, the designed MPC framework provided 37% energy saving and 70% cost saving compared to the conventional rule-based controller (RBC). Furthermore, the MicroCSP integration into the building HVAC is compared to the alternative of integrating photovoltaic (PV) panels and battery energy storage (BES) system to address the building HVAC needs. The results show the MicroCSP system outperforms PV solar panels for energy saving, while the PV panels outperform the MicroCSP system for cost saving when dynamic pricing is applied.
Modeling and Optimal Control of Micro-CSP and a Building HVAC System to Minimize Electricity Cost
Conference PaperIn Proc. ASME Dynamic Systems and Control Conference
, Park City, Utah, USA, 8–11 Oct. 2019.
Abstract
Building heat, ventilation and air conditioning (HVAC) systems are good candidates for demand response (DR) programs as they can flexibly alter their consumption to provide ancillary services to the grid and contribute to frequency and voltage regulation. One of the major ancillary services is the load following demand response (DR) program where the demand side tries to track a DR load profile required by the grid. This paper presents a real-time Model Predictive Control (MPC) framework for optimal operations of a micro-scale concentrated solar power (MicroCSP) system integrated into an office building HVAC system providing ancillary services to the grid. To decrease the energy cost of the building, the designed MPC exploits, along with the flexibility of the building’s HVAC system, the dispatching capabilities of the MicroCSP with thermal energy storage (TES) in order to control the power flow in the building and respond to the DR incentives sent by the grid. The results show the effect of incentives in the building participation to the load following DR program in the presence of a MicroCSP system and to what extent this participation is affected by seasonal weather variations and dynamic pricing.
Droop Control in DQ Coordinates for Fixed Frequency Inverter-Based AC Microgrids
Journal PaperElectronics, vol. 8, no. 10, Oct. 2019.
Abstract
This paper presents a proof-of-concept for a novel dq droop control technique that applies DC droop control methods to fixed frequency inverter-based AC microgrids using the dq0 transformation. Microgrids are usually composed of distributed generation units (DGUs) that are electronically coupled to each other through power converters. An inherent property of inverter-based microgrids is that, unlike microgrids with spinning machines, the frequency of the parallel-connected DGUs is a global variable independent from the output power since the inverters can control the output waveform frequency with a high level of precision. Therefore, conventional droop control methods that distort the system frequency are not suitable for microgrids operating at a fixed frequency. It is shown that the proposed distributed droop control allows accurate sharing of the active and reactive power without altering the microgrid frequency. The simulation and hardware-in-the-loop (HIL) results are presented to demonstrate the efficacy of the proposed droop control. Indeed, following a load change, the dq droop controller was able to share both active and reactive power between the DGUs, whereas maintaining the microgrid frequency deviation at 0% and the bus voltage deviations below 6% of their respective nominal values.
MPC-trained ANFIS for Control of MicroCSP Integrated into a Building HVAC System
Conference PaperIn Proc. IEEE American Control Conference (ACC'2019)
, Philadelphia, PA, USA, 10-12 Jul. 2019.
Abstract
This paper presents the design of an easily implementable rule-based controller that can minimize the electrical energy consumption of a building heating, ventilation, and air-conditioning (HVAC) system integrated with a microscale concentrated solar power (MicroCSP) system. A model predictive control (MPC) scheme is developed to optimize Mi-croCSP electrical and thermal energy flows for HVAC use in a building. Despite its attractiveness regarding energy savings and thermal comfort satisfaction, MPC requires high computational resources and can not be easily implemented on the common low-cost HVAC controllers available in the market. To cope with these issues, two MPC-trained adaptive neuro-fuzzy inference system (ANFIS) models are designed to control the building HVAC with MicroCSP. Simulation results exploiting real operation data from an office building at Michigan Technological University and our newly purchased MicroCSP are presented. It is shown that the resulting controller can reproduce the MPC reasoning and performance while being simpler and much more computationally efficient.
Decentralized Hamiltonian Control of Multi-DER Isolated Microgrids with Meshed Topology
Journal PaperEnergy Procedia, vol. 157, pp. 1253-1265, Jan. 2019.
Abstract
The new electricity grid of the future, smart grid, can be seen as the interconnection of multiple microgrids. These microgrids are usually composed of distributed energy resources (DERs) that connect to each other in different topologies. Therefore, the modeling and control of meshed microgrids are requisite. This paper presents a mathematical approach for the modeling and decentralized control of multi-DER isolated microgrids (ImGs) with a meshed topology. Based on the advanced control scheme: Hamiltonian surface shaping and power flow control (HSSPFC), decentralized controllers are designed independently using only local information. These controllers regulate the voltage at the point of common coupling (PCC) of their respective DERs and guarantee the stability of the overall ImG without requiring any communication infrastructure; hence, avoiding a single point of failure and harvesting the scalability of the ImG.
The Effect of Pre-coding Error on Cooperative Wireless Transmission in Smart Neighbor Area Network
Journal PaperEnergy Procedia, vol. 157, pp. 1110-1117, Jan. 2019.
Abstract
Smart Grid Network (SGN) has recently received a great deal of attention and attracted a considerable amount of research. In fact, (SGN) becomes an alternative source of power since it provides efficiency and reliability power consumption. Thus, SG architecture includes several communication schemes to ensure the best transmission of power and satisfy the consumer’s requirement. To reach these ambitions, the transmission must be established at time and without error. In the traditional transmission, every consumer transmits the power demand using a TDMA mechanism which prolongs the delay. In this paper, the purpose is to suggest a model that can quickly transmit the power demand and achieve a good performance in terms of delay. The scheme is called Cooperative Wireless Transmission for Smart Neighbor Area Network (CWT). The cooperative means that all consumers can participate and coordinate between them to transmit the total power. So, the first purpose is to gather the total power of all consumers simultaneously and rapidly by employing QPSK modulation so that to improve the throughput, the second one is to evaluate the performance of CWT in terms of Cooperative Symbol Error Rate (CSER) and Estimated Power (EP). All results are presented using numerical simulations.
The Impact of Transmission Error on the Performance of Cooperative Wireless Transmission on Smart Metering Environment
Journal PaperEnergy Procedia, vol. 157, pp. 1101-1109, Jan. 2019.
Abstract
Recently, the Smart Grid Network (SGN) has received considerable attention. SGN offers several and innovativetechnologies to make efficient and intelligent grid systems. The SG architecture includes several communication schemes to ensure the best power transmission and meet the needs of the consumer. Thus, there are many challenges that making the transmission as a difficult task, especially the wireless communication. In reality, wireless transmissions are error-prone and transmission errors which can lead to a mismatch on the power supply information exchange. This paperaims to suggest a quickly andsimultaneous model called Cooperative Wireless Transmission for Smart Metering (CWT). First, the purpose is to estimate the total power of all consumers and satisfy the peak power constraints. Furthermore, we study the impact of the channelerror on the performance of CWT system. In our analysis, we assume that the complex fading channel coefficients are estimated at the transmission levels with errors. The CWT scheme is evaluated in terms of Cooperative Symbol Error Rate (CSER). Simulations results shows that CWT mechanism achieve the satisfying results.
A Novel Gradual Faults Diagnosis Using the Photovoltaic Plant Reflectometry Profile
Conference PaperIn Proc. IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe'18)
, Sarajevo, Bosnia and Herzegovina, 21-25 Oct. 2018.
Abstract
This paper presents a novel gradual defects diagnosis technique for photovoltaic (PV) panels using a new concept named the photovoltaic plant reflectometry profile (PPRP). In fact, the maintaining of the good functioning of PV systems requires a highly accurate diagnosis for detecting defects not only at the begining, during the commissioning of the PV systems, but also throughout their lifetime. The proposed technique in this paper allows not only the detection of a discordance between the datasheet and the measured performance of the manufactured PV panels, but also to find the exact location of the defective one on an already installed PV plant. The PPRP is a new analytical model and criterion used to compare between the reflected signal that is received within the PV Plant after its transmission and the ideal (expected) one computed analytically using the datasheet. Simulations were conducted using MATLAB Simulink to emulate the discordance between the ideal PPRP and the measured PPRP on the PV plant, and show precisely the expected location of the faulty module.
Modeling and Optimal Control of Micro-CSP and a Building HVAC System to Minimize Electricity Cost
Conference PaperIn Proc. ASME Dynamic Systems and Control Conference
, Atlanta, Georgia, USA, Sept. 30–Oct. 3 2018
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Abstract
This paper presents a model predictive control (MPC) framework to minimize the energy cost associated with the building heating, ventilation, and air-conditioning (HVAC) system integrated with a micro-scale concentrated solar power (MicroCSP) system. To this end, a MicroCSP model is developed and then integrated to the building model of an office building in Michigan Technological University. Then, an MPC framework is designed to optimize MicroCSP electrical and thermal energy flows for HVAC use in the building. The optimal control results show that the designed MPC framework reduces the HVAC energy cost by 37–42% for a sample sunny day by optimally utilizing the solar energy, compared to the HVAC system without MicroCSP with an MPC controller. The cost saving varies from 12% to 47% depending on seasonal weather variations.
Model Predictive Control for MicroCSP Integration into a Building HVAC System
Conference PaperIn Proc. IEEE 14th International Conference on Control and Automation (ICCA'18)
, Anchorage, AK, USA, 12-15 June 2018.
Abstract
Micro-scale concentrated solar power (MicroCSP) is a promising technology that uses solar energy to provide electrical energy and thermal energy for use in buildings. This paper presents a model predictive control (MPC) framework to minimize the energy consumption of the building heating, ventilation, and air-conditioning (HVAC) system by integrating it with a microCSP. To this end, a microCSP model is developed and then integrated to the building model of an office building in Michigan Technological University. The designed MPC framework optimizes thermal energy storage (TES) usage and thermal energy flows from the heat pumps to the building rooms. The optimal control results show that the integration of microCSP to the building HVAC system reduces the HVAC energy consumption by almost half (4752%) by optimally utilizing the solar energy. The designed MPC framework provides 46% energy saving, compared to a heuristically designed rule-based controller for the combined HVAC and microCSP systems.
Cooperative Wireless Transmission for Smart Neighbor Area Networks
Conference PaperIn Proc. IEEE Renewable Energies, Power Systems & Green Inclusive Economy (REPS-GIE'18)
, Casablanca, Morocco, 23–24 Apr. 2018.
Abstract
Smart Grid Network (SGN) has recently received a great deal of attention and attracted a considerable amount of research. In fact, (SGN) becomes an alternative source of power since it provide efficiency and reliability power consumption. Thus, SG architecture include several communication scheme to ensure the best transmission of power and satisfy the consumer's requirement. To reach these ambition, the transmission must be established at time and without error. In the traditional transmission, every consumer transmit the power demand using a TDMA mechanism which prolong the delay. In this paper, the purpose is to suggest a model that can quickly transmit the power demand and achieve a good performance in terms of delay. The scheme is called Cooperative Wireless Transmission for Smart Neighbor Area Network (CWT). The cooperative means that all consumers can participate and coordinate between them to transmit the total power. So, The first purpose is to gather the total power of all consumers simultaneously and rapidly, the second one is to evaluate the performance of CWT in terms of Cooperative Symbol Error Rate (CSER) and Estimated Power (EP). All results are presented using numerical simulations.
A DQ Droop Control Strategy for Fixed Frequency VSI-based AC Microgrids
Conference PaperIn Proc. IEEE 5th International Conference on Renewable Energy: Generation and Applications (ICREGA'18)
, Al Ain, United Arab Emirates, 25–28 Feb. 2018.
Abstract
The development of distributed energy resources, renewable technologies, and storage systems has given great importance to power electronics that enable coordination and parallel operations of multiple distributed generation units (DGUs) in microgrids. These DGUs are electronically-coupled to each other through power converters that can accurately control their output frequency. This paper presents a droop control technique for fixed frequency VSI-based ac microgrids that combines reference frame transformation, Lyapunov stability analysis, and a modified dc droop control strategy to share active and reactive power between the DGUs without altering the frequency and magnitude of the bus voltage in the islanded microgrid. The simulations show that the proposed distributed droop control ensures proper sharing of the active and reactive power, and regulates the bus voltage at the nominal value while operating at a fixed frequency.
Socio-economic analysis of electric vehicles in Morocco
Journal PaperEnergy Procedia, vol. 141, pp. 644-653, Dec. 2017.
Abstract
Conscious of the economic and environmental stakes, Morocco tries to reconcile durably the economic development and the climate protection. This reconciliation is performed by developing new alternative sources of energy, encouraging the new practices and improving the measures of "electric mobility"; and driven by reducing the fuel consumption of the road vehicles. Therefore, this paper exhibits the reasons influencing the Moroccan choices of transportation modes, in particular, those taken according to electric vehicles technologies. Our aim is, then, to investigate possible options to integrate this mode of green transport in the Moroccan context, while respecting their expectations and limits.
Probabilistic Storage Modeling and Suboptimal Sizing of Renewable Energy Microgrids
Conference PaperIn Proc. IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe'17)
, Turin, Italy, 26–29 Sept. 2017.
Abstract
This paper proposes a novel probabilistic storage modeling and a suboptimal sizing of renewable energy Micro-grids. The emergence of renewable energies and distributed systems has been worldwide hastened. Yet, several challenges face this metamorphosis, above all, renewable energy uncertainties which require the integration of storage systems. When the system is undersized, the renewable energy would be dumped, and when it is oversized, the storage would be ineffective. Optimal configurations with probabilistic constraints are then primordial. Therefore, the contribution of this paper is twofold: First, it formulates a novel modeling of energy storage systems by introducing the idleness and counterbalance probabilities; and second, it proposes a suboptimal sizing by maximizing the goodness of fit between the probability density functions of residual power, or the difference between the generation and consumption, and the matching storage output power. Simulations were operated on two Microgrids with distinct parameters, and optimization computing used the Genetic Algorithm toolbox of Matlab.
Standardization of distributed energy storage systems sizing in a probabilistic context
Conference PaperIn Proc. IEEE EUROCON 2017-17th International Conference on Smart Technologies, Ohrid, North Macedonia, 06–08 July 2017.
Abstract
This paper questions the sizing standardization of small scale energy storage systems in a context of high penetration of renewable energies and non-deterministic load within the power grid. The future electrical grid is more precarious than the classic one by many reasons, inter alia, abrupt meteorological variations are hard to predict. Therefore, the geographic expansion beside high penetration of renewables certainly enhance the grid viability. Furthermore, the employment of energy storage systems, to mitigate the intermittence of renewable energy output and uncertainty of the load, is necessary, however, storage is conditioned by the randomness of the two aforesaid outputs. Although the difficulties, once the randomness is decently defined, the overall system is more secure. Accordingly, our procedure, then, evaluates a standard probabilistic sizing by including probabilistic calculations and applying the central limit theorem in order to achieve more standard results which increase the system scalability and efficiency. Finally, simulations with historical real data was used to run a numerical case.
Impact of Load and Renewable Energy Uncertainties on Single and Multiple Energy Storage Systems Sizing
Conference PaperIn Proc. IEEE Innovative Smart Grid Technologies-North America (ISGT NA’17), Washington D.C., USA, 23–26 Apr. 2017.
Abstract
This paper questions the impact of Renewable Energy Sources and load uncertainties on sizing Energy Storage Systems, as well as these uncertainties dynamics in a distributed configuration. Given the current energetic concern, the impor- tance of the massive integration of renewable energies and storage systems, in number and kind, has become obvious. Nonetheless, demand matching with these two options is quite challenging inasmuch as renewable energy sources are significantly random and as storage systems are high-priced and imitate load and production uncertainties. For this purpose, herein we firstly used Gaussian Mixtures to model renewable energy outcome; secondly, we developed a probabilistic procedure to size Energy Storage Systems as an aggregated unit, and finally, we examined the impact of distributing generation on uncertainties of individual units. Simulations on real load and photovoltaic historical data show that uncertainties, with respect to power and energy ratings, slightly increase in a non-linear fashion.
Cooperative Wireless Transmission for Smart Metering
Conference PaperIn Proc. IEEE International Conference on Smart Grid Communications (SmartGridComm’16), Sydney, Australia, pp. 249–253, 6–9 Nov. 2016.
Abstract
In order to optimize the power consumption and improve the energy efficiency, the smart grid (SG) provides reliable, efficient and secured electrical power generation and distribution. Smart grid aims to manage and control the consumer demand and provide the needed power. Thus, in smart grid architecture, the information about power supply must be known, in advance, by the operator. This information exchange is generally ensured through wireless communications. In the communication infrastructure, there is no place for transmission errors and high reliability is required. Also, a beforehand estimation of the next minutes consumption is desirable, to prepare the production, especially in the presence of distributed energy resources. In this paper, a Cooperative Wireless Transmission of Smart Metering called (CWT) is proposed to improve the transmission quality by reducing transmission errors and time delays. The objective is to gather the total of power consumption demand from every consumer and convey it simultaneously through a DAP (Data Aggregation Point) to the control center. Simulation results shows that CWT scheme outperforms the time division multiple access (TDMA) in terms of Cooperative Symbol Error Rate (CSER) and Power Metering Delay (PMD).
Dynamic Appliances Scheduling in Collaborative MicroGrids System
Journal PaperIEEE Transactions on Power Systems, vol.PP, no.99, Sep. 2016.
Abstract
In this paper a new approach which is based on a collaborative system of MicroGrids (MG’s), is proposed to enable household appliance scheduling. To achieve this, appliances are categorized into flexible and non-flexible Deferrable Loads (DL’s), according to their electrical components. We propose a dynamic scheduling algorithm where users can systematically manage the operation of their electric appliances. The main challenge is to develop a flattening function calculus (reshaping) for both flexible and non-flexible DL’s. In addition, implementation of the proposed algorithm would require dynamically analyzing two successive multi-objective optimization (MOO) problems. The first targets the activation schedule of non-flexible DL’s and the second deals with the power profiles of flexible DL’s. The MOO problems are resolved by using a fast and elitist multi-objective genetic algorithm (NSGA-II). Finally, in order to show the efficiency of the proposed approach, a case study of a collaborative system that consists of 40 MG’s registered in the load curve for the flattening program has been developed. The results verify that the load curve can indeed become very flat by applying the proposed scheduling approach.
Exploiting Zero Forcing Beamforming and TV White Space Band for Multiuser MIMO Cognitive Cooperative Radio Networks
Conference PaperIn Proc. IEEE International Conference on Wireless Networks and Mobile Communications (WINCOM’15), Marrakech, Morocco, pp. 1–6, Oct. 2015.
Abstract
Cooperative Cognitive Radio Networks (CCRN) is a promising concept recently studied to enhance cellular networks. The basic idea is that a primary user (PU) transmits his traffic assisted by some selected secondary users (SUs), which transmit also their own traffics using the same channel. The existing works in the literature propose the use of the same channel by applying a time division approach, where a time slot is dedicated to secondary traffic transmission, which degrads system performance. To overcome this problem, the use of multiple antennas enables simultaneous primary and secondary transmissions. Furthermore, the integration of beam-forming techniques removes the interference generated by this simultaneous transmissions. However, for almost systems proposed so far, only the PU and one SU can transmit simultaneously. In this paper, we propose a new scheme of CCRN where SUs communicate with a fusion center (FC) over a TV White Space (TVWS) band and perform a modulation matrix that allows simultaneous transmissions of the PU and all SUs with no interferences. Finally, we prove by theoretical studies and simulations that the suggested model improves significantly the rate of secondary users yet retaining good performances for the primary link.
Probabilistic Economic/Environmental Power Dispatch of Power System Integrating Renewable Energy Sources
Journal Paper In Sustainable Energy Technologies and Assessments, Elseiver, vol. 8, pp. 181–190, Dec. 2014.
Abstract
The study of different integration aspects of renewable energy sources (RES) becomes very important to overcome problems caused by their variability or uncertainty. This paper treats the economic environmental power dispatch as a probabilistic multiobjective problem. The operation cost is considered as the sum of deterministic part and probabilistic one. First, the problem is solved based on expected values of generated RES power. Then, using the cumulative distribution function (CDF) of each RES, the CDF of the required reserve to compensate RES power variability is developed. After that, respecting to the reserve contribution of each thermal generator, the probabilistic part of the global generation cost as well as its CDF are developed. In order to solve the proposed multiobjective problem, a new computation approach based on particle swarm is investigated. Finally, the proposed approach is applied to solve the active power dispatch problem of IEEE 30-bus test system in two cases with and without RESs. The simulation results show that the proposed approach allows to get the complete information about the cumulative distribution function of the actual global cost of the system operation.
Equal Gain Combining for Cooperative Spectrum Sensing in Cognitive Radio Networks
Journal Paper IEEE Transactions on Wireless Communications, vol. 13, no. 8, pp. 4334–4345, Aug. 2014.
Abstract
Sensing with equal gain combining (SEGC), a novel cooperative spectrum sensing technique for cognitive radio networks, is proposed. Cognitive radios simultaneously transmit their sensing results to the fusion center (FC) over multipath fading reporting channels. The cognitive radios estimate the phases of the reporting channels and use those estimates for coherent combining of the sensing results at the FC. A global decision is made at the FC by comparing the received signal with a threshold. We obtain the global detection probabilities and secondary throughput exactly through a moment generating function approach. We verify our solution via system simulation and demonstrate that the Chernoff bound and central limit theory approximation are not tight. The cases of hard sensing and soft sensing are considered and we provide examples in which hard sensing is advantageous to soft sensing. We contrast the performance of SEGC with maximum ratio combining of the sensors' results and provide examples where the former is superior. Furthermore, we evaluate the performance of SEGC against existing orthogonal reporting techniques such as time division multiple access (TDMA). SEGC performance always dominates that of TDMA in terms of secondary throughput. We also study the impact of phase and synchronization errors and demonstrate the robustness of the SEGC technique against such imperfections.
Multiobjective Optimization of Renewable Energy Penetration Rate in Power Systems
Journal Paper In Energy Procedia, Elseiver, vol. 50, pp. 368–375, July 2014.
Abstract
Nowadays, multi-source systems based on renewable energy technologies become the key to a sustainable energy supply infrastructure against the rising cost and the pollutant nature of fossil primary energy used in conventional power plant. However, the cost of renewable energy technologies and the reliability of a multi-sources generation system are generally conflicting with each other. This paper presents a multiobjective formulation to allow optimizing simultaneously both the annualized renewable energy cost the system reliability defined as the renewable energy - load disparity (RELD). This later takes into account the lack of energy as well as the exceed weighted by a penalty factor. The optimization is reach by acting on the penetration rate of each type of renewable generation technologies in order to satisfy a certain load curve. In order to solve this problem, this work suggests to use the fast and elitist multiobjective genetic algorithm: NSGA-II. A case study shows that the use of diversified resources allows to handle the RELD and to decrease the exceed renewable energy (RERE) and load energy notsupplied (LENS).
Probabilistic Economic Emission Dispatch Optimization of Multi-sources Power System
Journal Paper In Energy Procedia, Elseiver, vol. 50, pp. 789–796, July 2014.
Abstract
The interest on renewable energy resources is growing and the study of different integration aspects of these resources becomes very important to overcome problems caused by their variability or uncertainty. This paper treats the economic environmental power dispatch as a probabilistic multiobjective problem. The operation cost and green house gas emission functions are considered as the sum of deterministic part and probabilistic one. First, the problem is solved based on expected values of generated wind power then, using the cumulative density function (CDF) of each renewable energy source (RES), the CDF of the required reserve to compensate the RESs variability in order to keep the power balance. Then, respecting to the reserve contribution of each thermal generator, the probabilistic part of the global generation cost as well as its CDF are developed. Finally, the proposed approach is applied to solve the active power dispatch problem of IEEE 30-bus test system in two cases with and without RESs. The simulation results show that this method allows to get the complete information about the cumulative distribution function of the actual global cost of the system operation.
Cross-Layer Designed Adaptive Modulation Algorithm with Packet Combining and Truncated ARQ over MIMO Nakagami Fading Channels
Journal Paper IEEE Transactions on Wireless Communications, vol. 10, no. 4, pp. 1026–1031, April. 2011.
Abstract
Sensing with equal gain combining (SEGC), a novel cooperative spectrum sensing technique for cognitive radio networks, is proposed. Cognitive radios simultaneously transmit their sensing results to the fusion center (FC) over multipath fading reporting channels. The cognitive radios estimate the phases of the reporting channels and use those estimates for coherent combining of the sensing results at the FC. A global decision is made at the FC by comparing the received signal with a threshold. We obtain the global detection probabilities and secondary throughput exactly through a moment generating function approach. We verify our solution via system simulation and demonstrate that the Chernoff bound and central limit theory approximation are not tight. The cases of hard sensing and soft sensing are considered and we provide examples in which hard sensing is advantageous to soft sensing. We contrast the performance of SEGC with maximum ratio combining of the sensors' results and provide examples where the former is superior. Furthermore, we evaluate the performance of SEGC against existing orthogonal reporting techniques such as time division multiple access (TDMA). SEGC performance always dominates that of TDMA in terms of secondary throughput. We also study the impact of phase and synchronization errors and demonstrate the robustness of the SEGC technique against such imperfections.
BER evaluation for general QAM in Nakagami-m fading channels
Journal Paper IET Electronics Letters, vol. 45, no. 6, pp. 319–321, Mar. 2009.
Abstract
Evaluation of the bit error rate for general M-ary quadrature amplitude modulation (M-QAM) in Nakagami-m fading channels is presented. The analysis considers real values of the Nakagami fading parameter m, and bit-to-symbol mapping that is not necessarily Gray. Analytical and simulation results are compared to illustrate the accuracy of the analysis, taking as examples non-Gray mapped 16-QAM and 32-cross-QAM constellations.
BER Analysis of M-QAM with Packet Combining over Space-Time Block Coded MIMO Fading Channels
Journal Paper IEEE Transactions on Wireless Communications, vol. 7, no. 3, pp. 799–805, Mar. 2008.
Abstract
We analyze the bit error rate (BER) performance of M-ary quadrature amplitude modulation (M-QAM) when using space-time block coding (STBC) along with packet combining triggered by automatic repeat request (ARQ) retransmission over multiple-input multiple-output (MIMO) fading channels. Specifically, adopting a log-likelihood ratio (LLR) based approach and considering the 16-QAM case of study, we provide an exact formulation for the aggregate LLR distribution in the case the STBC codeword can be transmitted twice, and derive the resulting BER. For higher number of retransmissions, an approximation of the error function is used to derive the LLR distributions and the system's ensuing BER. Considering different values of combined transmissions and M-QAM with possible constellation rearrangement (CoRe), validation of the proposed BER analytical model through simulations and assessment of the advantages of packet combining are provided for transmissions over additive white Gaussian noise (AWGN) channel and orthogonalized MIMO Rayleigh fading channels with different STBC mappings.
Queuing Models for Dimensioning Interactive and Streaming Services in High-Speed Downlink Packet Access Networks
Journal Paper IEEE Transactions on Broadcasting, vol. 53, no. 3, pp. 619–627, Sept. 2007.
Abstract
We consider modeling the statistical behavior of interactive and streaming traffics in high-speed downlink packet access (HSDPA) networks. Two important applications in these traffic categories are web-browsing (interactive service) and video streaming (streaming service). Web-browsing is characterized by its important sensitivity to delay. Video streaming on the other hand is less sensitive to delay, however, due to its large frame sizes, video traffic is more affected by the packet loss resulting from a limited buffer size at the base station. Taking these characteristics into account, we consider modeling the queuing delay probability density function (PDF) of the Web-browsing traffic, and modeling the queuing buffer size distribution of video streaming traffic. Specifically, we show that the queuing delay of the Web-browsing traffic follows an exponential distribution and that the queuing buffer size of video streaming traffic follows a weighted Weibull distribution. Model fitting based on simulated data is used to provide simple mathematical formulations for the different parameters that characterize the PDFs under consideration. The provided equations could be used, directly, in HSDPA network dimensioning and, as a reference, to satisfy a certain quality of service (QoS).
Information security enhancement in smart grids using secrecy capacity of a wireless channel
Journal Paper International Journal of Applied Engineering Research
, vol. 10, no. 24, pp. 44132–44139, Dec. 2015.
Abstract
The integration of renewable energies into the electrical requires real time control which introduce a frequent interaction between the smart devices, power plants and the control center utilities. For this reason, it is essential to rely on a communication infrastructure that can respond to the new challenges. In this paper we propose to use a hierarchical electrical infrastructure in order to facilitate the grid management and avoid information overload in the network. Moreover, we propose to use a new security concept to preserve the data grid integrity and ensure the safety of the electrical grid. This security concept is the secrecy capacity, which is a mechanism that potentially strengthens the security of wireless communication by characterizing the maximum data transmission rate that can be reached while the exchanged information is kept secret from a malicious entity. In this paper, we study the secrecy capacity of the smart grid wireless network where the target information is transmitted via a faded channel in the presence of multiple cooperative eavesdroppers. Simulations results show the potential usefulness of secrecy capacity in determining the behavior of the communication system secrecy depending on the characteristics of both the legitimate and eavesdropper channels.
Secure Nakagami-m Fading Broadcast Channel for Smart Grids
Journal Paper International Journal of Applied Engineering Research
, vol. 10, no. 24, pp. 45605–45610, Dec. 2015.
Abstract
The integration of renewable energies into the electrical requires real time control which introduce a frequent interaction between the smart devices, power plants and the control center utilities. For this reason, it is essential to rely on a communication infrastructure that can respond to the new challenges. In this paper we propose to use a hierarchical electrical infrastructure in order to facilitate the grid management and avoid information overload in the network. Moreover, we propose to use a new security concept to preserve the data grid integrity and ensure the safety of the electrical grid. This security concept is the secrecy capacity, which is a mechanism that potentially strengthens the security of wireless communication by characterizing the maximum data transmission rate that can be reached while the exchanged information is kept secret from a malicious entity. In this paper, we study the secrecy capacity regions of the smart grid wireless network for the case of a Nakagami-m fading broadcast channel with a confidential message where the transmitter sends a common message to two receivers and a confidential message only to receiver 1. Simulations results show the potential usefulness of secrecy capacity in determining the behavior of the communication system secrecy for both the confidential and common messages depending on the characteristics of both the legitimate and eavesdropper channels.
Adaptive scheduling for MIMO wireless networks : cross-layer approach and application to HSDPA
Journal Paper IEEE Transactions on Wireless Communications, vol. 6, no. 1, pp. 259–268, Jan. 2007.
Abstract
Multiple antennas at both ends of a transmission link establish a spatial MIMO system well-known to considerably increase the performance of wireless networks through the extra dimension offered in the spatial domain. Two types of MIMO systems can be distinguished, spatial multiplexing (SM) systems which exploit the multiple antennas as a means to increase the information data rate, and spatial diversity (SD) systems that aim to increase the reliability of the information transmission [1]. The concepts of SM and SD are also applicable in multiuser systems where by taking advantage of the independence of the fading statistics of different users, multiuser diversity (MD) can be exploited to increase the throughput of the system through simultaneous transmissions to a number of users. As throughput is not the only criterion that needs to be optimized and that a certain level of fairness needs to be guaranteed among active users, this gives rise to the following question: In a downlink SM system with multiple transmit antennas, how to schedule transmissions for the active users so as to maximize throughput while ensuring a high degree of service fairness. This question is particularly important in designing efficient scheduling protocols capable of extracting the MD gain that can be achieved in MIMO multiuser wireless networks.
Efficient support of IP multicast in the next generation of GEO satellites
Journal Paper IEEE Journal on Selected Areas in Communications, vol. 22, no. 2, pp. 413–425, Feb. 2004.
Abstract
Satellites are expected to have an important role in providing the Internet protocol (IP) multicast service to complementing next-generation terrestrial networks. In this paper, we focus on the deployment of IP multicast over the next generation of digital video broadcasting-based geosynchronous earth orbit satellites supporting multiple spot beams and on-board switching technologies. We propose a new encapsulation scheme optimized for IP multicast, which has two distinct modes enabling two alternative on-board switching approaches: the self-switching and the label-switching. We also detail a set of mechanisms and protocols for ground stations, as well as for the on-board processor to allow an efficient multicast forwarding in this type of environment, while reducing the load of control and data messages in the satellite segment, and building efficient multicast delivery trees reaching only the spot beams containing at least one member of the corresponding multicast session. To integrate satellite links in the terrestrial Internet, we present satellite multicast adaptation protocol (SMAP), a protocol which is implemented in satellite stations to process incoming protocol independent multicast-sparse mode (PIM-SM) messages sent by terrestrial nodes to the satellite system. SMAP helps to update the tables required for the mapping between IP packets and MPEG-2 data segments, their switching on board the satellite, and their filtering at the satellite receivers.
Decentralized Hamiltonian Control of Isolated AC Microgrids: Theory & design
Conference PaperIn Proc. IEEE Innovative Smart Grid Technologies-Asia (ISGT ASIA’15), Bangkok, Thailand, pp. 1–6, Nov. 2015.
Abstract
Microgrids technology is the cornerstone of smart grid, the electricity network of the future. Based on distributed generation, microgrids can contribute to increase the penetration rate of renewable energy resources and hence reduce costs and gas emissions. This paper presents a new design methodology, based on Hamiltonian Surface Shaping and Power Flow Control (HSSPFC), for a decentralized control of isolated microgrids (ImGs) with multiple distributed energy resources (DERs). The local controllers insure the stability of the overall ImG while regulating the voltage at the point of common coupling (PCC) of their respective DERs. Each controller is synthesized independently, using only local information on the corresponding DER, its dedicated load, and the corresponding line. This decentralized control procedure guarantees scalability and plug-and-play (PnP) operations of the ImG.
Optimal Time of Use of Renewable Electricity Pricing : Three-Player Games Model
Conference PaperIn Proc. IEEE International Conference on Smart Grid Communications (SmartGridComm’15), Miami, FL, pp. 199–204, Nov. 2015.
Abstract
Currently, the electricity demand is exponentially increasing due to the population growth. Therefore, the demand side management (DSM) is becoming unavoidable especially with the increasing use of renewable energy sources. One of the most known tactics of DSM is the use pricing strategies to threaten users to schedule their loads by controlling their own appliances. In this paper, a new model of electricity market operators is proposed based on three actors: the utility grid (G) with renewable energy (RE) generation, the electricity consumer (U) and a storage company (S). This approach aims to develop the adequate hourly prices which optimize the utility function of each operator. Then, in order to deal with this objective, two related games are defined. The first one is based on the satisfaction function of U and the G and aims to give the hourly prices of consumers' electricity bills. While the second one is based on the satisfaction function of G and S in order to optimize the hourly prices of G's electricity bills. Finally, a case study based on a given RE production and consumers load forecasts has been considered. Simulation results show that the obtained hourly prices allows the consumer load curve to follow the RE curve generation while achieving the main objective of the proposed approach.
Achieving Energy Efficiency for Device to Device communications using Power Control: A Low Complexity Algorithm
Conference PaperIn Proc. IEEE 10th International Conference on Intelligent Systems : Theories and Applications (SITA’15), Rabat, Morocco, pp. 1–6, Oct. 2015.
Abstract
In this article we investigate energy efficient power control in the context of D2D (Device to Device) communications. An approach based on game theory is used to implement a fully distributed power control scheme. We propose a practical implementation of a low complexity power allocation algorithm that we compare with an existing NLP (Non Linear Programming) power allocation algorithm. Simulations results show that the proposed algorithm has near optimal performance and reduced computational complexity comparing to NLP algorithm.
Secrecy Capacity of a Nakagami-m Fading Channel in the Presence of Cooperative Eavesdroppers
Conference PaperIn Proc. IEEE 14th Mediterranean Microwave Symposium (MMS'2014), pp. 1–6, Dec. 2014.
Abstract
Physical layer security helps enormously cryptography to improve the confidentiality of communications over wireless networks. Indeed, the secrecy capacity is used at the physical layer to ensure not only the security of communications but also to exploit efficiently the channel capacity. The principle of secrecy capacity is to characterize the maximum data transmission rate, that can be reached while the exchanged information is kept secret from a malicious entity. In this paper, we present a closed-form expression of outage probability and we specify the outage secrecy capacity of a Nakagami-m fading channel in the presence of cooperative correlated eavesdroppers performing the maximal ratio combining which helps the eavesdroppers to tap the maximum of the exchanged information between the transmitter and the legitimate receiver. Simulations results show that a raise in the number of the cooperative eavesdroppers degrades significantly the secrecy capacity of this communication system, moreover the correlation degree between the eavesdroppers has a negative impact on the communication confidentiality especially when it takes small values.
Power Management for Collaborative Microgrids
Conference PaperIn Proc. IEEE 20th International Conference on Telecommunications, (ICT'13), Casablanca, Morocco, pp. 1–5, 6–8 May 2013.
Abstract
Microgrids integrating green energy receive more attention from consumers since they present significant benefits including the ability to rely on more localized sources of power generation and keeping the environment healthy and safe. Thus, neighborhoods/cities opt for providing energy from green resources. However, the integration of renewable energies could lead to certain problems such as the destabilization and destruction of the power grids. For this reason, it is essential to build a robust management system and efficient communication between microgrids devices. This paper proposes a new approach based on a dynamic assignment of renewable energy tokens (DARET) algorithm and investigates a non-uniform hierarchical modulation as a data transmission technique over wireless channels. The proposed algorithm allows residential microgrids of a small geographic area to dynamically collaborate and share their individual green energy generation in order to supply their overall loads. The sharing is dynamically updated in short-term by exchanging data, in terms of individual demands and supplies, between the consumers over wireless links.
Non-Uniform Hierarchical Modulation for Wireless Communication in Smart Grid
Conference PaperIn IEEE International Conference on Networking, Sensing and Control (ICNSC'13), Paris, France, April 2013.
Abstract
The deregulation and liberalization of power market allows greater integration of renewable power resources at all stages of electrical networks but it makes the balance between supply and demand more difficult to reach. Thus, efficient and reliable communications between electrical network nodes must be guaranteed in order to dynamically use the power system as optimally as possible. The electrical protection decisions and real time pricing are among the categories of power system information. However, these categories have different priorities depending on their importance in the whole power system. Communication system must then take into consideration such requirements. This paper proposes the use of wireless links to transmit these information differentially protected by using non-uniform hierarchical quadrature amplitude modulation (16-QAM) where high (low) reliable symbols are assigned to critical (basic) information.
Dynamic Assignment of Renewable Energy Tokens in a Collaborative MicroGrids
Conference PaperIn Proc. IEEE International Conference on Next Generation Networks and Services (NGNS'12), Algarve, Portugal, Dec. 2012.
Abstract
Nowadays, electrical energy consumption and energy prices have increased. Thus, the microgrids (μGs) rely on renewable energy receive more attention from consumers. New neighborhoods opt for green philosophy where the most consumed energy comes from renewable generation. Indeed, each residence could be supplied from its own solar and wind generation or from centrally located power plant. However, the latters present many problems in efficiency and reliability. This paper proposes a new approach based on a dynamic assignment of renewable energy tokens (DARET) algorithm to add a smart behavior to μGs. The proposed algorithm allows residential μGs of a small geographic area to dynamically collaborate and share their individual green energy generation in order to supply their overall load. The sharing is dynamically updated in short-term by exchanging data, in terms of individual demands and supplies, between the consumers over wireless links.
Cooperative Networks: Overview of State-of-the Art and Trends Toward Green Cooperative Networks
Conference PaperIn Proc. IEEE International Conference on Multimedia Computing and Systems (ICMCS'12), Tangier, Morocco, May 2012.
Abstract
This paper gives a general overview of a cooperative network (CN), which allows single-antenna mobiles to reach some of the advantages of multi-input multi-output (MIMO) systems. The idea is that single-antenna mobiles in a multi-user scenario can share their antennas so as to create a virtual MIMO system. Several important results in this area have been reached through an important research activity. However, most of them focused on performances of a CN such as rates and outage probability, with little consideration to the energetic aspect of this technology. This paper aims to cover most of what researchers all over the scientific community have achieved regarding this technology, with special regard to energy-aware CN schemes involving other new radio technologies.
Packet Delay Modeling of Truncated Multi-Process ARQ Protocols for Parallel Communications
Conference PaperIn Proc. IEEE International Conference on Telecommunications (ICT'10), Doha, Qatar, Apr. 2010. (Invited paper)
Abstract
This paper presents a packet transmission delay modeling for networks using multiple truncated stop-and-wait (SAW) retransmission processes. The packet transmission delay includes the packet queueing delay (PQD) and the packet reordering delay (PRD). While the first type of delay is commonly known for any SAW procedure, the latter is only introduced when multiple SAW processes are considered for parallel communications. These processes work independently while sharing the same packet traffic. By modeling the queueing buffer as an M/G/∞ model, an analytical formula for the average PQD is provided. In addition, we model the PRD as a first-order Markov chain defined by a transition probability matrix, and derive the average PRD. Analytical formulae are provided considering the general case where error probabilities are different from a transmission to another, such as in automatic repeat request (ARQ) with packet combining, and for arbitrary values of the number of multi-SAW processes and maximum number of ARQ retransmissions.
BER Analysis of STBC with Packet Combining in MIMO Rayleigh Fading Channels: LLR-based Approach
Conference PaperIn Proc. IEEE Global Telecommunications Conference (Globecom'2006), vol. 25, San Francisco, CA, USA, Nov. 2006, pp. 3553–3557.
Abstract
Adopting a log-likelihood ratio (LLR) based approach, we analyze the bit error rate (BER) performance of orthogonal space-time block coding (STBC) using M-ary quadrature amplitude modulation (M-QAM) along with packet combining triggered by automatic repeat request (ARQ) retransmission over multiple-input multiple-output (MIMO) Rayleigh fading channels. Specifically, considering the 16-QAM case of study, we provide an exact formula for the aggregate LLR distribution in the case the STBC codeword can be transmitted twice, and derive an exact expression for the BER. For higher number of retransmissions, an approximation of the error function, erf(.), is used to derive the LLR distributions and the system's ensuing BER. The proposed BER analytical model is validated through simulations considering transmission over additive white Gaussian noise (AWGN) and MIMO Rayleigh fading channels, for different STBC mappings, different values of combined transmissions, and possible constellation rearrangement (CoRe).
Multi-user Capacity Maximization for MIMO Gaussian Broadcast Channels
Conference PaperIn Proc. IEEE International Conference on Communications (ICC'06), vol. 9, Istanbul, Turkey, June 2006, pp. 4196–4201.
Abstract
In this paper we consider the problem of maximizing the multi-user capacity of Gaussian multiple-input multiple-output (MIMO) broadcast channels (BC). This problem consists in finding the optimal users' covariance matrices that maximize the multiuser capacity. These covariances represent, in the same time, the selection of users to transmit to, and their corresponding allocated power. To deal with this problem, many papers use iterative algorithms to provide the optimal solution. However, when the number of active users is high, these algorithms introduce a high order of complexity and suffer from memory drawback. Herein, we show that in a multi-user multi-antenna system, there exists a subset of active users that achieves a capacity close to the maximum, and that such iterative algorithms can be utilized considering a group of users instead of all active users. In addition, we present a new algorithm which makes a suboptimal selection of such group, referred to as the Best Group (BG). The proposed algorithm can be used jointly with any optimal power allocation algorithm in order to provide the covariances which maximize the multiuser capacity. Numerical results are provided and show that the BG selection is at least 5 times faster than other algorithms with a negligible reduction in the BC capacity.
Cross-Layer Design for Scheduling and Antenna Sharing in MIMO Networks
Conference PaperIn Proc. IEEE Global Telecommunications Conference (Globecom'2005), vol. 6, St. Louis, MO, USA, Nov. 2005, pp. 3185–3189.
Abstract
This paper formulates the scheduling problem in MIMO networks as a generalized assignment problem (GAP), and advances a new cross-layer design for the scheduling of users and the assignment of their corresponding data to the available transmit antennas. The proposed scheduling and antenna sharing method, referred to as fast transmit antenna selection (FTAS), uses adaptive proportional fairness (APF) mapping as a means to determine the user-antenna assignment that maximizes the network performance both in terms of throughput and fairness. The proposed scheduler is applied in a high speed downlink packet access (HSDPA) network, taking advantage of an inherent HSDPA characteristic, namely, the use of adaptive modulation and coding, while coping with the imposed maximum number of simultaneously supported codes and the absence of fast power control. Numerical results show that our scheduler provides up to 70% increase in total throughput compared to other scheduling schemes applied to HSDPA.
A Queueing Delay Model for Dimensioning Interactive Service Traffic in HSDPA Networks
Conference PaperIn Proc. IEEE International Conf. on Wireless Networks, Communications, and Mobile Computing (WiMob'2005), vol. 1, June 2005, pp. 774–778.
Abstract
This paper considers interactive traffic queuing delay estimation in high speed downlink packet access (HSDPA) networks. The Web browsing is the most widely used interactive application. Its traffic model is subdivided into three levels: session level, burst level and packet level. Based on this model, the statistical behavior of the queueing delay is studied. It is shown that the queueing delay for the Web traffic follows an exponential distribution. Analytical modelling of the probability density function (PDF) of the queueing delay being untractable, we resort to simulated data and provide simple mathematical formulation of the different parameters which characterizes the density function. Indeed, we present useful equations which could be used, directly, in HSDPA network dimensioning, and as a reference, to satisfy a certain quality of service.
Resource Allocation in HSDPA using Best-users Selection Under Code Constraints
Conference PaperIn Proc. IEEE Vehicular Technology Conference (VTC-S'2005), vol. 1, Stockholm, Sweden, May 2005, pp. 319–323.
Abstract
We consider the open issue of resource allocation in HSDPA networks for the purpose of enhancing the system's performance both in terms of throughput and fairness while taking into consideration resource constraints specific to the HSDPA architecture. In particular, we propose a two-best user scheduling approach with an optimal power allocation aimed at maximizing data throughput and a selection criterion designed to ensure adaptive proportional fairness between users with different resource requirements and constraints. Compared to the popular carrier-to-interference ratio (CIR) and proportional fairness (PF) methods, the proposed technique, called two-best adaptive proportional fairness (APF) is shown to provide higher performance both in terms of throughput and fairness even when users experience different channel propagating conditions.
Adaptive proportional fairness for packet scheduling in HSDPA
Conference PaperIn Proc. IEEE Global Telecommu- nications Conference (Globecom'04), vol. 6, Dallas, TX, USA, Nov. 2004, pp. 4033–4037.
Abstract
This paper considers packet scheduling in high speed downlink packet access (HSDPA) networks. One of the main features of HSDPA is the capability of tracking fast channel variations and the use of a large set of discrete rate values, which should be used to conduct fast scheduling of packets while ensuring fairness between users. We consider the operating environment where the scheduling is performed in heterogeneous channels. In this case, proportional fairness (PF) scheduling fails to achieve the goal of providing fair throughput to the users. We propose, in this paper, an approach that resolves this shortcoming. The proposed scheduling algorithm, called adaptive proportional fairness (APF) is shown to ensure proportional fairness even under different QoS requirements for users experiencing different channel conditions. Taking into consideration the system's constraints on the available rates, simulation results and comparisons show the high efficiency of our approach compared to PF scheduling.
A General Traffic and Queueing Delay Model for 3G Wireless Packet Networks
Book Chapter
In: de Souza J.N., Dini P., Lorenz P. (eds) Telecommunications and Networking - ICT 2004. Lecture Notes in Computer Science, vol 3124 | Springer, Berlin, Heidelberg | ISBN-10: 978-3-540-27824-5
Abstract
This paper considers traffic modelling and queueing delay estimation of different 3G packet network services. First, a general traffic model for conversational (voice) and streaming (video) services is presented. This model is subdivided into three levels: session level, burst level, and packet level. Based on the proposed model, the statistical behavior of the queueing delay is studied. It is shown that the queueing delay corresponding to voice and video streaming services follows an exponential distribution. Analytical modelling of the probability density function (PDF) of the queueing delay being untractable, we resort to simulated data and provide simple mathematical formulation of the different parameters that characterize the density functions of the different services. Indeed, we present useful equations which could be utilized, directly in network dimensioning, as a reference to satisfy a certain quality of service (QoS) and in the design of radio resource management algorithms.
Fast Packet Scheduling Assuring Fairness and Quality of Service in HSDPA
Conference PaperIn Proc. IEEE Canadian Conference on Electrical and Computer Engineering (CCECE'04), vol. 4, Niagara Falls, Canada, May 2004, pp. 2243–2246.
Abstract
We consider packet scheduling in high speed downlink packet access (HSDPA) networks in the presence of heterogeneous channels. In this case, proportional fairness (PF) scheduling and its enhanced version, the data rate control (DRC) exponent rule, fail to achieve the goal of providing fair data rates to users. We propose a new scheduling policy that resolves this problem. The proposed adaptive proportional fairness (APF) scheduling is shown to ensure proportional fairness even for users experiencing different channel conditions. The APF algorithm is subdivided into two modules: a short term module, which consists of an enhanced version of the selection criterion adopted in the DRC exponential rule, and a long-term monitoring module, in which we have updating of the control parameters that we introduce to ensure fairness among users. Simulation results and comparisons, provided for the best-effort mode of operation, show the high efficiency of our approach compared to proportional fairness scheduling.
Teaching
Since 2010, i provided courses and supervised laboratories at the Electrical Departement on different subjects related mainly to the electronic and telecommunication fields.
Currrent Teaching
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Present 2020
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Present 2020
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Present 2015
Analog and Digital Modulation Techniques
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Present 2014
Next Generation Radio Communication Technologies
OFDM, MIMO, 4G LTE Core Network
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Present 2014
Research Methodology and Tools Initiation - PhD Students
Latex, InkScape, Zotero, Mendley.
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Present 2011
Signals, Systems and Signal Processing
Fourier Transforms, Laplace Transforms, Linear Systems, Analod and Digital Signals, Discrete and Contineous Signals
Teaching History
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2015 2011
Semiconductors and Basic Electronics
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2015 2011
Tranmission Lines, Guided and Free Space Propagation
Contact & Meet Me
I would be happy to talk to you if you need my assistance in your research or whether you need help in subjects related to the courses i teach.
- +(212) 0707-ANIBAG
- [email protected]
- [email protected]
- ganiba
- #ghassane
- www.linkedin.com/in/ganiba
At My Office
You can find me at my office located at the ELectrical Department, first floor next to the Laboratory of Electronics.
I am at my office from Monday to Friday, but you may consider a call to fix an appointment.