Sum-Rate and Power Scaling of Massive MIMO Systems With Channel Aging
Sum-Rate and Power Scaling of Massive MIMO Systems With Channel Aging
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DOI：
10.1109/tcomm.2015.2493998
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发表时间：
2015-10
影响因子：
8.3
通讯作者：
Chuili Kong;C. Zhong;Anastasios K. Papazafeiropoulos;M. Matthaiou;Zhaoyang Zhang
中科院分区：
文献类型：
--
作者：
Chuili Kong;C. Zhong;Anastasios K. Papazafeiropoulos;M. Matthaiou;Zhaoyang Zhang
研究了大规模多输入多输出（MIMO）系统在信道老化情况下的可达和速率。对于上行链路，通过假设基站（BS）部署最大比合并（MRC）或迫零（ZF）接收器，我们提出了严格的封闭形式的下限上可实现的和速率与老化的信道状态信息（CSI）的接收器。此外，实施信道预测方法的和速率的好处进行检查，并推导出封闭形式的和速率下限。此外，信道老化和信道预测的功率缩放律的影响进行了表征。还考虑对下行链路场景和多小区场景的扩展。研究发现，对于有/无信道预测的系统，每个用户的发射功率最多可以按比例缩小1/100 M（其中M是BS天线的数目），这指示老化的CSI不会使功率缩放律劣化，并且信道预测不会增强功率缩放律;相反，这些现象通过分别降低或提高有效信号干扰比和噪声比来影响可实现的和速率。
This paper investigates the achievable sum-rate of massive multiple-input multiple-output (MIMO) systems in the presence of channel aging. For the uplink, by assuming that the base station (BS) deploys maximum ratio combining (MRC) or zero-forcing (ZF) receivers, we present tight closed-form lower bounds on the achievable sum-rate for both receivers with aged channel state information (CSI). In addition, the benefit of implementing channel prediction methods on the sum-rate is examined, and closed-form sum-rate lower bounds are derived. Moreover, the impact of channel aging and channel prediction on the power scaling law is characterized. Extension to the downlink scenario and multicell scenario is also considered. It is found that, for a system with/without channel prediction, the transmit power of each user can be scaled down at most by 1/√M (where M is the number of BS antennas), which indicates that aged CSI does not degrade the power scaling law, and channel prediction does not enhance the power scaling law; instead, these phenomena affect the achievable sum-rate by degrading or enhancing the effective signal to interference and noise ratio, respectively.