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Impact of Channel State Misreporting on Multi-user Massive MIMO Scheduling Performance

机译:信道状态误报对多用户大规模MIMO调度性能的影响

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The robustness of system throughput with schedul- ing is a critical issue. In this paper, we analyze the sensitivity of multi-user scheduling performance to channel misreporting in systems with massive antennas. The main result is that for the round-robin scheduler combined with max-min power control, the channel magnitude misreporting is harmful to the scheduling performance and has a different impact from the purely physical layer analysis. Specifically, for the homogeneous users that have equal average signal-to-noise ratios (SNRs), underreporting is harmful, while overreporting is beneficial to others. In under- reporting, the asymptotic rate loss on others is derived, which is tight when the number of antennas is huge. One interesting observation in our research is that the rate loss "periodically" increases and decreases as the number of misreporters grows. For the heterogeneous users that have various SNRs, both underreporting and overreporting can degrade the scheduler performance. We observe that strong misreporting changes the user grouping decision and hence greatly decreases some users' rates regardless of others gaining rate improvements, while with carefully designed weak misreporting, the scheduling decision keeps fixed and the rate loss on others is shown to grow nearly linearly with the number of misreporters.
机译:系统吞吐量随时间表的鲁棒性是一个关键问题。在本文中,我们分析了多用户调度性能对具有大规模天线的系统中误报的敏感性。主要结果是,对于循环调度器与MAX-MIN功率控制相结合,信道幅度误报对调度性能有害,并且与纯物理层分析具有不同的影响。具体地,对于具有相同平均信噪比(SNR)的均匀用户,潜断是有害的,而过度报告对他人有益。在报告中,衍生出对方的渐近率损失,当天线数量巨大时,这是紧张的。在我们的研究中一个有趣的观察是,随着误报者的数量增长,速度损失“定期”增加和减少。对于具有各种SNR的异构用户,次报告和过度报告都可以降低调度程序性能。我们观察到,强大的误报改变用户分组决定,因此,无论其他人获得速率改进,大大降低了一些用户的速度,同时经过精心设计的弱误报,调度决策保持修复,其他人的速率损失显示出几乎线性的速度损失误报的人数。

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