Joint precoding design for wideband intelligent reflecting surface-assisted cell-free network

Xin Du; Yajun Wang

doi:10.1117/12.3038788

22 July 2024 Joint precoding design for wideband intelligent reflecting surface-assisted cell-free network

Xin Du, Yajun Wang

Proceedings Volume 13222, International Conference on Signal Processing and Communication Security (ICSPCS 2024); 1322203 (2024) https://doi.org/10.1117/12.3038788
Event: Third International Conference on Signal Processing and Communication Security (ICSPCS 2024), 2024, Chengdu, China

Abstract

In this paper, we propose an efficient joint precoding design method to maximize the weighted sum-rate in Intelligent Reflecting Surface (IRS)-assisted cell-free networks by jointly optimizing the active beamforming of base stations and the passive beamforming of IRS. To address the high-dimensional non-convex optimization problem, we employ a fractional programming approach to decouple the non-convex problem into subproblems for alternating optimization between active and passive beamforming. The active beamforming subproblem is addressed using the Consensus Alternating Direction Method of Multipliers (CADMM) algorithm, while the passive beamforming subproblem is tackled using the Accelerated Projection Gradient (APG) method. Simulation results demonstrate that our proposed approach achieves significant improvements in weighted sum-rate under various performance metrics compared to Primal-Dual Subgradient (PDS).

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xin Du and Yajun Wang "Joint precoding design for wideband intelligent reflecting surface-assisted cell-free network", Proc. SPIE 13222, International Conference on Signal Processing and Communication Security (ICSPCS 2024), 1322203 (22 July 2024); https://doi.org/10.1117/12.3038788

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