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.
