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An Efficient Beamforming Design for Reflective Intelligent Surface-Aided Communications System

Future communication systems throughput expansion requires the deployment of more Access Points (APs) at a high cost and low power usage. We were motivated by the recently suggested reconfigurable intelligent surface approach (RIS) to handle this problem. Specifically, this paper discusses the joint Beamforming scheme design challenge regarding throughput improvement at the AP and RIS levels. We developed an iterative algorithm, namely the D/AO-BF, that resorts to the principle of Duality Theory and the Alternating Optimization approach to tackle this complex challenge. Because of the non-convexity and variables coupling difficulty of the expressed problem, the proposed Algorithm separates the optimization problem of the coupled variables into four separate optimization sub-problems. The alternating optimization approach sequentially resolves the issue by updating additional variables, transmitting beamformer, reflection beamformer, and iteratively. The architecture envisioned for the joint beamformer can also be an optimal solution for maximizing throughput in most present RIS-assisted scenarios. Lastly, the result from the simulation shows that we have almost 31% spectral enhancement compared to the traditional network without RIS for the specific distance scenario of the scheme.