1 research outputs found
Decentralized Beamforming Design for Intelligent Reflecting Surface-enhanced Cell-free Networks
Cell-free networks are considered as a promising distributed network
architecture to satisfy the increasing number of users and high rate
expectations in beyond-5G systems. However, to further enhance network
capacity, an increasing number of high-cost base stations (BSs) are required.
To address this problem and inspired by the cost-effective intelligent
reflecting surface (IRS) technique, we propose a fully decentralized design
framework for cooperative beamforming in IRS-aided cell-free networks. We first
transform the centralized weighted sum-rate maximization problem into a
tractable consensus optimization problem, and then an incremental alternating
direction method of multipliers (ADMM) algorithm is proposed to locally update
the beamformer. The complexity and convergence of the proposed method are
analyzed, and these results show that the performance of the new scheme can
asymptotically approach that of the centralized one as the number of iterations
increases. Results also show that IRSs can significantly increase the system
sum-rate of cell-free networks and the proposed method outperforms existing
decentralized methods.Comment: 5 pages, 6 figure