Joint User Throughput Maximization In Reconfigurable Intelligent Surfaces (RIS) Assisted Networks

Abstract

Current 5G cellular networks must be upgraded to sixth-generation networks as the number of users and data rate demands are increasing dramatically. In comparison to 5G networks, 6G networks would be able to deploy at higher frequencies, resulting in significantly increased capacity, As the RISs (reconfigurable intelligent surfaces) concept has recently received a lot of attention as a possible solution for 6G wireless communications and it is a new technology that can be configured to optimize the wireless propagating environments, improve the connections between users and base stations (BS), and adjust wireless settings to improve spectrum and throughput of a network. RISs are emerging as a solution for Tera Hertz technologies. It can pave the way to envision the throughput and maximizing users targets for B5G/6G networks. Therefore the joint user and the throughput maximization problem with RIS assisted based B5G/6G wireless network is investigated in this thesis subject to power transmission, QoS, and phase shift at RIS constraints. The objective is to maximize joint user and throughput of a RIS aided multi-user network having a multi-antenna base station (BS) Few articles examine user and throughput maximization in the innovative environment of wireless communications helped by RIS at this time, Hence our research work focuses on RIS-assisted wireless transmission, to collaboratively improve the admitted users and the throughput for all users as compared to the conventional communication system. The problem as stated is non-convex resulting in the MINLP problem. In general, MINLP problems are NP-hard problems. A Mesh adaptive direct search (MADS) algorithm is proposed to efficiently solve this problem. Extensive simulation work validates the proposed algorithm, demonstrating that it is effective in terms of joint user and throughput in a RIS-assisted network. Results achieved from the simulation shows that by incorporating RIS in a network increases throughput and maximizes the admitted users in a wireless network. By increasing the number of RIS elements the throughput is also increased. Our proposed MADS algorithm outdo the advanced algorithms and computational complexity is reduced.