Uplink Energy Efficiency of Cell-Free Massive MIMO With Transmit Power Control in Measured Propagation Channels

2021 IEEE Workshop on Signal Processing Systems (SiPS) Pub Date : 2021-08-04 DOI:10.1109/SiPS52927.2021.00037

Thomas Choi, Masaaki Ito, I. Kanno, Takeo Oseki, K. Yamazaki, A. Molisch

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引用次数: 5

Abstract

Cell-free massive MIMO (CF-mMIMO) is expected to provide reliable wireless services for a large number of user equipments (UEs) using access points (APs) distributed across a wide area. When the UEs are battery-powered, uplink energy efficiency (EE) becomes an important performance metric for CF-mMIMO systems. Therefore, if the "target" spectral efficiency (SE) is met, it is important to optimize the uplink EE when setting the transmit powers of the UEs. Also, such transmit power control (TPC) method must be tested on channel data from real-world measurements to prove its effectiveness. In this paper, we compare three different TPC algorithms using zero-forcing reception by applying them to 3.5 GHz channel measurement data featuring ∼30,000 possible AP locations and 8 UE locations in a 200m×200m area. We show that the max-min EE algorithm is highly effective in improving the uplink EE at a target SE, especially if the number of single-antenna APs is large, circuit power consumption is low, and the maximum allowed transmit power of the UEs is high.

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传输信道中具有发射功率控制的无小区大规模MIMO上行能量效率

无小区大规模MIMO (CF-mMIMO)有望通过分布在广阔区域的接入点(ap)为大量用户设备(ue)提供可靠的无线服务。当终端采用电池供电时，上行链路能效(uplink energy efficiency, EE)成为CF-mMIMO系统的重要性能指标。因此，在满足“目标”频谱效率(target spectrum efficiency, SE)的情况下，在设置终端的发射功率时，优化上行的频谱效率就显得尤为重要。此外，这种发射功率控制(TPC)方法必须在实际测量的信道数据上进行测试，以证明其有效性。在本文中，我们通过将三种不同的TPC算法应用于具有200m×200m区域内约30,000个可能AP位置和8个UE位置的3.5 GHz信道测量数据，比较了使用零强制接收的三种不同TPC算法。我们的研究表明，最大最小EE算法在提高目标SE的上行EE方面非常有效，特别是在单天线ap数量大、电路功耗低、ue最大允许发射功率高的情况下。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2021 IEEE Workshop on Signal Processing Systems (SiPS)

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