Spectral efficiency enhancement for reconfigurable intelligent surface assisted MIMO system

Abstract EN

Reconfigurable intelligent surfaces (RISS) have emerged as promising contenders for enabling sixth-generation (6G) physical wireless platforms.

RISS fine-tune wireless networks to optimize the spectrum and energy use.

This article explores the design challenge of a joint beamforming strategy for increasing throughput at the Access Point (AP) and RIS.

This challenging problem is addressing through creating an iterative algorithm that applied the Duality Theory and the Alternative Optimization technique called the Duality Alternating Optimization (DAO) algorithm.

The joint beamforming design challenge is established for the proposed network to maximize all User Equipment (UES) throughput.

Additionally, the study offers a collaborative beamforming system to address the formulated challenge.

Due to the raising issues including non-convexity and difficulty with variable coupling, the proposed Algorithm divides the optimization problem of the coupled variables into four distinct optimization sub- problems by introducing new supporting variables.

The alternative optimization strategy handles the issue sequentially by iteratively updating these new variables, the active beamformer, and the passive beamformer.

Finally, the simulation results indicate that the study achieved about a 30% spectrum boost over the standard network without RIS for a certain system.