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Decentralized Beamforming Design for Intelligent Reflecting Surface-enhanced Cell-free Networks

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Document pages: 5 pages

Abstract: Cell-free networks are considered as a promising distributed networkarchitecture to satisfy the increasing number of users and high rateexpectations in beyond-5G systems. However, to further enhance networkcapacity, an increasing number of high-cost base stations (BSs) are required.To address this problem and inspired by the cost-effective intelligentreflecting surface (IRS) technique, we propose a fully decentralized designframework for cooperative beamforming in IRS-aided cell-free networks. We firsttransform the centralized weighted sum-rate maximization problem into atractable consensus optimization problem, and then an incremental alternatingdirection method of multipliers (ADMM) algorithm is proposed to locally updatethe beamformer. The complexity and convergence of the proposed method areanalyzed, and these results show that the performance of the new scheme canasymptotically approach that of the centralized one as the number of iterationsincreases. Results also show that IRSs can significantly increase the systemsum-rate of cell-free networks and the proposed method outperforms existingdecentralized methods.

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