Autor según el artículo: Mohamed, Ehab Mahmoud; Hashima, Sherief; Hatano, Kohei; Takimoto, Eiji; Abdel-Nasser, Mohamed
Departamento: Enginyeria Electrònica, Elèctrica i Automàtica
Autor/es de la URV: Abdelnasser Mohamed Mahmoud, Mohamed
Palabras clave: 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
Resumen: 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.
Áreas temáticas: 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
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: mohamed.abdelnasser@urv.cat
Identificador del autor: 0000-0002-1074-2441
Fecha de alta del registro: 2024-10-12
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://ieeexplore.ieee.org/document/10044086
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Ieee Access. 11 15816-15830
Referencia 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 del artículo: 10.1109/access.2023.3244781
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2023
Tipo de publicación: Journal Publications
Repositori URV