Articles producció científica> Enginyeria Electrònica, Elèctrica i Automàtica

Load Balancing Multi-Player MAB Approaches for RIS-Aided mmWave User Association

  • Dades identificatives

    Identificador: imarina:9293317
    Autors:
    Mohamed, Ehab MahmoudHashima, SheriefHatano, KoheiTakimoto, EijiAbdel-Nasser, Mohamed
    Resum:
    In this paper, multiple reconfigurable intelligent surface (RIS) boards are deployed to enhance millimeter wave (mmWave) communication in a harsh blockage environment, where mmWave line-of-sight (LoS) link is completely blocked. Herein, RIS-user association should be considered to maximize the users' achievable data rate while assuring load balance among the installed RIS panels. However, maximum received power (MRP) based RIS-user association will overload some of the RIS boards while keeping others unloaded, which causes RIS load to unbalance and decreases the users' achievable data rate. Instead, in this paper, an online learning methodology using centralized multi-player multi-armed bandit (MP-MAB) with arms' load balancing is proposed. In this formulation, mmWave users, RIS boards, and achievable users' rates act as the bandit game players, arms, and rewards. During the MAB game, the users learn how to avoid associating with the heavily loaded RIS boards, maximizing their achievable data rates, and balancing the RIS loads. Three centralized MP-MAB algorithms with arms' load balancing are proposed from the family of upper confidence bound (UCB) MAB algorithms. These algorithms are UCB1, Kullback-Leibler divergence UCB (KLUCB), and Minimax optimal stochastic strategy (MOSS) with arms' load balancing, i.e., UCB1-LB, KLUCB-LB, and MOSS-LB. Numerical analysis ensures the superior performance of the proposed algorithms over MRP-based RIS-user association and other benchmarks.
  • Altres:

    Autor segons l'article: Mohamed, Ehab Mahmoud; Hashima, Sherief; Hatano, Kohei; Takimoto, Eiji; Abdel-Nasser, Mohamed
    Departament: Enginyeria Electrònica, Elèctrica i Automàtica
    Autor/s de la URV: Abdelnasser Mohamed Mahmoud, Mohamed
    Paraules clau: User association Reconfigurable intelligent surface Multi-armed bandit Millimeter wave communication Millimeter wave Intelligent surfaces wireless communication user association tuning transmission robust reconfigurable intelligent surface performance analysis optimization multi-armed bandit problem multi-armed bandit millimeter wave load management games design channel estimation array signal processing
    Resum: In this paper, multiple reconfigurable intelligent surface (RIS) boards are deployed to enhance millimeter wave (mmWave) communication in a harsh blockage environment, where mmWave line-of-sight (LoS) link is completely blocked. Herein, RIS-user association should be considered to maximize the users' achievable data rate while assuring load balance among the installed RIS panels. However, maximum received power (MRP) based RIS-user association will overload some of the RIS boards while keeping others unloaded, which causes RIS load to unbalance and decreases the users' achievable data rate. Instead, in this paper, an online learning methodology using centralized multi-player multi-armed bandit (MP-MAB) with arms' load balancing is proposed. In this formulation, mmWave users, RIS boards, and achievable users' rates act as the bandit game players, arms, and rewards. During the MAB game, the users learn how to avoid associating with the heavily loaded RIS boards, maximizing their achievable data rates, and balancing the RIS loads. Three centralized MP-MAB algorithms with arms' load balancing are proposed from the family of upper confidence bound (UCB) MAB algorithms. These algorithms are UCB1, Kullback-Leibler divergence UCB (KLUCB), and Minimax optimal stochastic strategy (MOSS) with arms' load balancing, i.e., UCB1-LB, KLUCB-LB, and MOSS-LB. Numerical analysis ensures the superior performance of the proposed algorithms over MRP-based RIS-user association and other benchmarks.
    Àrees temàtiques: Telecommunications Materials science (miscellaneous) Materials science (all) General materials science General engineering General computer science Engineering, electrical & electronic Engineering (miscellaneous) Engineering (all) Engenharias iv Engenharias iii Electrical and electronic engineering Computer science, information systems Computer science (miscellaneous) Computer science (all) Ciência da computação
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: mohamed.abdelnasser@urv.cat
    Identificador de l'autor: 0000-0002-1074-2441
    Data d'alta del registre: 2024-10-12
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: https://ieeexplore.ieee.org/document/10044086
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Ieee Access. 11 15816-15830
    Referència de l'ítem segons les normes APA: Mohamed, Ehab Mahmoud; Hashima, Sherief; Hatano, Kohei; Takimoto, Eiji; Abdel-Nasser, Mohamed (2023). Load Balancing Multi-Player MAB Approaches for RIS-Aided mmWave User Association. Ieee Access, 11(), 15816-15830. DOI: 10.1109/access.2023.3244781
    DOI de l'article: 10.1109/access.2023.3244781
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2023
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Computer Science (Miscellaneous),Computer Science, Information Systems,Engineering (Miscellaneous),Engineering, Electrical & Electronic,Materials Science (Miscellaneous),Telecommunications
    User association
    Reconfigurable intelligent surface
    Multi-armed bandit
    Millimeter wave communication
    Millimeter wave
    Intelligent surfaces
    wireless communication
    user association
    tuning
    transmission
    robust
    reconfigurable intelligent surface
    performance analysis
    optimization
    multi-armed bandit problem
    multi-armed bandit
    millimeter wave
    load management
    games
    design
    channel estimation
    array signal processing
    Telecommunications
    Materials science (miscellaneous)
    Materials science (all)
    General materials science
    General engineering
    General computer science
    Engineering, electrical & electronic
    Engineering (miscellaneous)
    Engineering (all)
    Engenharias iv
    Engenharias iii
    Electrical and electronic engineering
    Computer science, information systems
    Computer science (miscellaneous)
    Computer science (all)
    Ciência da computação
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