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Title	Energy Efficient Multi-User Communications Aided By Reconfigurable Intelligent Surfaces And Uavs
ID_Doc	23253
Authors	DIamanti M.; Tsampazi M.; Tsiropoulou E.E.; Papavassiliou S.
Year	2021
Published	Proceedings - 2021 IEEE International Conference on Smart Computing, SMARTCOMP 2021
DOI	http://dx.doi.org/10.1109/SMARTCOMP52413.2021.00075
Abstract	To support the provisioning of modern services in a smart city environment, future communication networks need to be intelligently designed with respect to the city infrastructure and energy efficient utilization of resources. Unmanned Aerial Vehicles (UAVs) are already being utilized as part of a smart city wireless network infrastructure to provide on-demand connectivity and eliminate the network's coverage holes, especially when communication conditions are unfavorable. Complementary to this, the adoption of Reconfigurable Intelligent Surface (RIS) technology allows for the creation of a more controllable smart wireless communications environment. In this article, a multi-user Non-Orthogonal Multiple Access (NOMA) communications system aided by a RIS and a UAV is studied. Based on a single-leader multiple-followers Stackelberg Game, we aim to jointly optimize the overall received signal strength at the UAV and maximize the users' achieved energy efficiency. The UAV - acting as a leader - intelligently steers the RIS-reflected signals in order to enhance the corresponding received signal quality, by determining the RIS elements' effective phase shifts. This, in turn, is exploited by the users (i.e., followers), which through the formulation of a non-cooperative game, where each user aims at maximizing its achieved energy efficiency, they determine their optimal uplink transmission power. The proposed optimization framework is evaluated via modeling and simulation, demonstrating the significant power savings and the ultimate users' satisfaction occurring by the introduction of the RIS. © 2021 IEEE.
Author Keywords	Game Theory; Power Control; Reconfigurable Intelligent Surfaces; Unmanned Aerial Vehicles

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