Joint user and throughput maximization in re‐configurable intelligent surface assisted beyond 5G/6G networks

Current fifth-generation (5G) cellular networks must be upgraded to sixth-generation (6G) networks as the data rate demands are increasing dramatically. In 6G, the re-configurable intelligent surfaces (RISs) concept has recently received a lot of attention, it is a new technology that can be configured to optimize the wireless propagating environments and adjust wireless settings to improve the throughput of a network. RIS is emerging as a solution for Tera-Hertz technologies. Therefore the joint user and the throughput maximization problem with RIS-assisted B5G/6G wireless network is investigated in this paper subject to power transmission, quality of service (QoS), and phase shift constraints. The proposed research work focuses on RIS-assisted wireless transmission, to collaboratively improve the admitted users and the through-put for all users in comparison to a traditional communications platform. The problem formulated is non-convex resulting in the mixed integer non-linear programming (MINLP) problem. MINLP problems are NP-hard problems. A mesh adaptive direct search (MADS) algorithm is proposed to solve this problem efficiently. Extensive simulation work validates the proposed algorithm, in a RIS-assisted

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