In this work, we consider the problem of multiuser scheduling for the downlink of cell-free massive multi-input multi-output networks with clustering. In particular, we develop a multiuser scheduling algorithm based on an enhanced greedy method that is deployed with linear precoding and clustering. Closed-form expressions for the sum-rate performance are derived when imperfect channel state information is considered. The proposed scheduling algorithm is then analyzed along with its computational cost and network signaling load. Numerical results show that the proposed scheduling method outperforms the existing methods and in low signal-to-noise ratios, its performance becomes much closer to the optimal approach.

翻译：本文研究了具有聚类的无蜂窝大规模多输入多输出下行链路网络中的多用户调度问题。具体而言，我们基于增强型贪婪方法开发了一种多用户调度算法，该算法结合了线性预编码与聚类。在考虑非理想信道状态信息的情况下，推导了系统和速率的闭式表达式。随后对所提调度算法的计算成本与网络信令负载进行了分析。数值结果表明，所提调度方法优于现有方法，且在低信噪比条件下，其性能更接近最优方案。