Uplink Energy Efficiency of Cell-Free Massive MIMO With Transmit Power Control in Measured Propagation Channels
Uplink Energy Efficiency of Cell-Free Massive MIMO With Transmit Power Control in Measured Propagation Channels
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DOI：
10.1109/sips52927.2021.00037
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发表时间：
2021-08
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通讯作者：
Thomas Choi;Masaaki Ito;I. Kanno;Takeo Oseki;K. Yamazaki;A. Molisch
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作者：
Thomas Choi;Masaaki Ito;I. Kanno;Takeo Oseki;K. Yamazaki;A. Molisch
无小区大规模 MIMO (CF-mMIMO) 有望利用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 UE 由电池供电时，上行链路能量效率 (EE) 成为 CF-mMIMO 系统的重要性能指标。因此，如果满足“目标”频谱效率（SE），则在设置UE的发射功率时优化上行链路EE非常重要。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，我们比较了使用迫零接收的三种不同的 TPC 算法，将其应用于 3.5 GHz 信道测量数据，这些数据具有 200m×200m 区域中约 30,000 个可能的 AP 位置和 8 个 UE 位置。我们表明，最大-最小EE算法对于提高目标SE的上行链路EE非常有效，特别是在单天线AP数量较多、电路功耗较低、UE最大允许发射功率较高的情况下。
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.