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12. A Deep Q-Learning Bisection Approach for Power Allocation in Downlink NOMA Systems

Author

Marie-Josepha Youssef, Charbel Abdel Nour, Catherine Douillard, Xavier Lagrange, Equipe CODES (Lab-STICC_CODES), Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Département Mathematical and Electrical Engineering (IMT Atlantique - MEE), IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Département Systèmes Réseaux, Cybersécurité et Droit du numérique (IMT Atlantique - SRCD), Advanced technologies for operated networks (ADOPNET), Université de Rennes (UR)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-CentraleSupélec-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec

Subjects
[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR], Computer science, Bisection, Q-learning, 020206 networking & telecommunications, 02 engineering and technology, weighted sum-rate maximization, medicine.disease, Non-orthogonal multiple access NOMA, [SPI.TRON]Engineering Sciences [physics]/Electronics, Computer Science Applications, Power (physics), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Noma, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], successive interference cancellation stability, [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], Modeling and Simulation, Telecommunications link, 0202 electrical engineering, electronic engineering, information engineering, medicine, Electrical and Electronic Engineering, Arithmetic, Deep reinforcement learning DRL
Abstract

International audience; In this work, we study the weighted sum-rate maximization problem for a downlink non-orthogonal multiple access (NOMA) system. With power and data-rate constraints, this problem is generally non-convex. Therefore, a novel solution based on the deep reinforcement learning (DRL) framework is proposed for the power allocation problem. While previous work based on DRL restrict the solution to a limited set of possible power levels, the proposed DRL framework is specifically designed to find a solution with a much larger granularity, emulating a continuous power allocation. Simulation results show that the proposed power allocation method outperforms two baseline algorithms. Moreover, it achieves almost 85% of the weighted sum-rate obtained by a far more complex genetic algorithm that approaches exhaustive search in terms of performance.

Published
2021
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13. Resource Allocation in NOMA-based Self-Organizing Networks using Stochastic Multi-Armed Bandits

Author

Charbel Abdel Nour, Venugopal V. Veeravalli, Joumana Farah, Marie Josepha Youssef, Catherine Douillard, Département Mathematical and Electrical Engineering (IMT Atlantique - MEE), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Equipe CODES (Lab-STICC_CODES), Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Department of Electrical and Computer Engineering [Urbana] (University of Illinois), University of Illinois at Urbana-Champaign [Urbana], University of Illinois System-University of Illinois System, Faculty of Engineering [Lebanese University] (ULFG), and Lebanese University [Beirut] (LU)

Subjects
Signal Processing (eess.SP), Channel allocation schemes, Computer science, business.industry, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 05 social sciences, 050801 communication & media studies, Self-organizing network, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0508 media and communications, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], Telecommunications link, FOS: Electrical engineering, electronic engineering, information engineering, Resource allocation, Resource management, Electrical and Electronic Engineering, Radio resource management, Electrical Engineering and Systems Science - Signal Processing, business, Computer network, Communication channel, Power control
Abstract

To achieve high data rates and better connectivity in future communication networks, the deployment of different types of access points (APs) is underway. In order to limit human intervention and reduce costs, the APs are expected to be equipped with self-organizing capabilities. Moreover, due to the spectrum crunch, frequency reuse among the deployed APs is inevitable, aggravating the problem of inter-cell interference (ICI). Therefore, ICI mitigation in self-organizing networks (SONs) is commonly identified as a key radio resource management mechanism to enhance performance in future communication networks. With the aim of reducing ICI in a SON, this paper proposes a novel solution for the uncoordinated channel and power allocation problems. Based on the multi-player multi-armed bandit (MAB) framework, the proposed technique does not require any communication or coordination between the APs. The case of varying channel rewards across APs is considered. In contrast to previous work on channel allocation using the MAB framework, APs are permitted to choose multiple channels for transmission. Moreover, non-orthogonal multiple access (NOMA) is used to allow multiple APs to access each channel simultaneously. This results in an MAB model with varying channel rewards, multiple plays and non-zero reward on collision. The proposed algorithm has an expected regret in the order of O(log^2 T ), which is validated by simulation results. Extensive numerical results also reveal that the proposed technique significantly outperforms the well-known upper confidence bound (UCB) algorithm, by achieving more than a twofold increase in the energy efficiency., Comment: Submitted to IEEE Transactions on Communications

Published
2021
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14. Full-Duplex and Backhaul-Constrained UAV-Enabled Networks using NOMA

Author

Charbel Abdel Nour, Marie-Josepha Youssef, Joumana Farah, Catherine Douillard, Lab-STICC_IMTA_CACS_IAS, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Département Electronique (IMT Atlantique - ELEC), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Faculty of Engineering [Lebanese University] (ULFG), and Lebanese University [Beirut] (LU)

Subjects
Computer Networks and Communications, Computer science, Aerospace Engineering, Duplex (telecommunications), 050801 communication & media studies, ComputerApplications_COMPUTERSINOTHERSYSTEMS, 02 engineering and technology, Power budget, Radio spectrum, Noma, Base station, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0508 media and communications, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, in-band full-duplex, 0202 electrical engineering, electronic engineering, information engineering, medicine, Wireless, QoS requirements, wireless backhaul, Electrical and Electronic Engineering, UAV-BS, business.industry, 05 social sciences, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, NOMA, 020206 networking & telecommunications, Transmitter power output, medicine.disease, Backhaul (telecommunications), [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], Automotive Engineering, Resource allocation, business, Computer network
Abstract

Early Access; International audience; In this paper, a full-duplex unmanned aerial vehicle (UAV) base station is used to provide wireless communication to an area lacking a conventional terrestrial infrastructure, and its efficient deployment is investigated. More concretely, the UAV positioning and resource allocation problems are solved with the aim of minimizing the transmit power of the UAV, while serving users with their rate requirements and accounting for the backhaul limitation of the UAV. To this end, a complete solution for the optimal 3D position of the UAV, the bandwidth assignment and the transmit power distribution in the access and backhaul links is proposed that accounts for both the backhaul interference and the self-interference. When the UAV power budget is insufficient to fulfill rate requirements, NOMA pairing is conducted to enhance system performance. Simulation results show that, when using the proposed approach, both the achieved sum rate and the percentage of satisfied users are significantly increased, when compared to a strategy that uses separate frequency bands in the access and backhaul links, as well as to a previously proposed method.

Published
2020
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15. Resource Allocation for Mixed Traffic Types in Distributed Antenna Systems Using NOMA

Author

Charbel Abdel Nour, Joumana Farah, Catherine Douillard, Marie-Josepha Youssef, Département Electronique (IMT Atlantique - ELEC), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Lab-STICC_IMTA_CACS_IAS, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Université Libanaise, Faculté de Génie en électricité et électronique, Branche 2 (Université Libanaise) (ULFG2), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)

Subjects
Computer science, resource allocation, Throughput, 02 engineering and technology, Noma, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0203 mechanical engineering, Telecommunications link, 0202 electrical engineering, electronic engineering, information engineering, medicine, ComputingMilieux_MISCELLANEOUS, latency, business.industry, Quality of service, mixed traffic types, NOMA, 020206 networking & telecommunications, 020302 automobile design & engineering, DAS, medicine.disease, Power optimization, [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], Distributed antenna system, Resource allocation, business, Computer network
Abstract

This paper proposes a new traffic-aware resource allocation technique, employing non-orthogonal multiple access (NOMA) in a downlink distributed antenna system (DAS). The studied framework consists of users with mixed traffic types: real-time (RT) users having strict QoS requirements (in terms of amount of data and latency), and best-effort (BE) users aiming to maximize their throughput and fairness. After formulating the resource and power optimization problem, we propose a low complexity sub-optimal algorithm that aims at guaranteeing the requirements of RT users while maximizing the utility function of BE users. Simulation results show a remarkable performance enhancement of the proposed algorithm over baseline techniques in terms of RT users satisfaction. Also, the proposed technique achieves near optimal fairness for BE users while maximizing their average throughput.

Published
2018
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16. Waterfilling-based Resource Allocation Techniques in Downlink Non-Orthogonal Multiple Access (NOMA) with Single-User MIMO

Author

Charbel Abdel Nour, Joumana Farah, Catherine Douillard, Marie-Josepha Youssef, Virginia Polytechnic Institute and State University [Blacksburg], Département Electronique (IMT Atlantique - ELEC), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Lab-STICC_IMTA_CACS_IAS, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), and Faculté de Génie en électricité et électronique, Branche 2 (Université Libanaise) (ULFG2)

Subjects
Computer science, MIMO, Throughput, 02 engineering and technology, Non orthogonal, Multiplexing, Scheduling (computing), non-orthogonal multiple access, Noma, Index Terms-downlink transmission, 0203 mechanical engineering, Telecommunications link, 0202 electrical engineering, electronic engineering, information engineering, medicine, Quality of experience, scheduling, business.industry, 020206 networking & telecommunications, 020302 automobile design & engineering, medicine.disease, power allocation, [SPI.TRON]Engineering Sciences [physics]/Electronics, [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], Resource allocation, Downlink transmission, waterfilling, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Communication channel, Computer network
Abstract

International audience; Non-Orthogonal Multiple Access (NOMA) has proven itself as a serious candidate for multiple access schemes in the 5th generation of wireless communication systems. In this paper, we propose new resource allocation techniques that allow the coupling of NOMA with multiple-input-multiple-output (MIMO) systems. As in most of downlink NOMA systems, the proportional fairness (PF) scheduler is used. As for power allocation (PA), most previous works assume an equal PA between antennas and subbands, which is sub-optimal. In this paper, we first propose a technique to reduce the complexity of the PF scheduler, and then we introduce an iterative waterfilling-based power allocation to the Single-User MIMO (SU-MIMO) case. Extensive simulations show that the novel PA technique improves the quality of experience of users suffering from bad channel conditions, as well as the user fairness.

Published
2017
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