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引用次数: 10

摘要

大规模MIMO依赖于近乎正交的用户信道来实现前所未有的频谱效率。但在视距(LoS)环境中,一些用户可能会受到类似的信道矢量。同时为具有相似信道向量的用户提供服务会严重损害对所有用户的吞吐量性能。我们提出了一种调度程序,该调度程序可以识别具有相似信道的用户,并以适当分配的数据速率在不同的时隙中为他们提供服务,同时为所有用户提供公平的服务并最大化系统的频谱效率。仿真结果表明,调度程序在单cell Massive MIMO下行链路和上行链路上具有最大比率(MR)处理或零强制(ZF)处理的有效性,并且调度用户的信道相关阈值是一个重要的设计参数,可以进行微调以优化用户吞吐量性能。
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User Scheduling in Massive MIMO
Massive MIMO relies on nearly orthogonal user channels to achieve unprecedented spectral efficiency. But in LoS (line-of-sight) environment, some users can be subjected to similar channel vectors. Serving users with similar channel vectors simultaneously can severely compromise the throughput performance to all users. We propose a scheduler that identifies users with similar channels and serves them in separate time slots with properly assigned data rates, while aiming to provide fair service to all users and maximize the system spectral efficiency at the same time. Simulation results show the effectiveness of the scheduler on both downlink and uplink of a single cell Massive MIMO with MR (maximum ratio) processing or ZF (zero-forcing) processing, and that channel correlation threshold for scheduling users is an important design parameter that can be fine-tuned to optimize the user throughput performance.
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