In this work, we propose a clustering technique based on information rates for cell-free massive multiple-input multiple-output (MIMO) networks. Unlike existing clustering approaches that rely on the large scale fading coefficients of the channels and user-centric techniques, we develop an approach that is based on the information rates of cell-free massive MIMO networks. We also devise a resource allocation technique to incorporate the proposed clustering and schedule users with fairness. An analysis of the proposed clustering approach based on information rates is carried out along with an assessment of its benefits for scheduling. Numerical results show that the proposed techniques outperform existing approaches.

翻译：本文提出了一种基于信息速率的无蜂窝大规模多输入多输出（MIMO）网络聚类技术。与现有依赖信道大尺度衰落系数和用户中心方法的聚类方案不同，我们开发了一种基于无蜂窝大规模MIMO网络信息速率的聚类方法。同时，我们设计了一种资源分配技术，以整合所提出的聚类方法并实现公平的用户调度。基于信息速率的聚类方法分析及其对调度效益的评估同步展开。数值结果表明，所提技术优于现有方案。