论文标题
智能反射表面增强的无细胞网络的分散式梁形成设计
Decentralized Beamforming Design for Intelligent Reflecting Surface-enhanced Cell-free Networks
论文作者
论文摘要
无单元网络被认为是有希望的分布式网络体系结构，可满足不断增加的用户数量和超过5G系统中的高利率期望。但是，为了进一步增强网络容量，需要越来越多的高成本基站（BSS）。为了解决这个问题，并受到具有成本效益的智能反射表面（IRS）技术的启发，我们提出了一个完全分散的设计框架，用于在IRS辅助的无细胞网络中进行合作波束成形。我们首先将集中的加权总和最大化问题转换为可拖动的共识优化问题，然后提出了乘数的增量交替方向方法（ADMM）算法来局部更新波束形式。分析了所提出方法的复杂性和收敛性，这些结果表明，随着迭代次数的增加，新方案的性能可以渐近地接近集中式介绍的性能。结果还表明，IRS可以显着增加无细胞网络的系统总和率，而所提出的方法的表现优于现有的分散方法。
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.
