Power Optimization for Energy Efficiency in Cell-Free Massive MIMO with ZF Receiver

Yao Zhang, Haotong Cao, Meng Zhou, Longxiang Yang
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引用次数: 16

Abstract

In this paper, a pilot-contaminated uplink cell-free massive multiple-input multiple-output (mMIMO) system with zero-forcing (ZF) receiver is considered. Then this paper derives a novel lower-bound expression for uplink energy efficiency (EE), which enables us to propose a resource optimization problem to maximize the total EE. This considered power optimization scheme takes into account the quality-of-service (QoS) requirement, each user power constraint and power consumption. Specifically, the power consumption model includes circuit power, data transmission power and backhaul power. Since the proposed power control problem is non-convex, a novel path-following approximation algorithm is characterized to tackle this problem. Simulation results indicate that the proposed algorithm only needs a few iterations to converge. Moreover, compared with equal power control (EPC) scheme, our algorithm can significantly improve the total EE.
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基于ZF接收机的无单元大规模MIMO能效的功率优化
研究了一种具有零强迫(ZF)接收机的无导频污染的上行链路海量多输入多输出(mMIMO)系统。在此基础上,导出了一种新的上行链路能效下界表达式,使我们能够提出一个以总能效最大化为目标的资源优化问题。这种经过深思熟虑的功率优化方案考虑了服务质量(QoS)需求、每个用户的功率约束和功耗。具体来说,功耗模型包括电路功耗、数据传输功耗和回程功耗。由于所提出的功率控制问题是非凸的,提出了一种新的路径跟随近似算法来解决该问题。仿真结果表明,该算法只需少量迭代即可收敛。此外,与等功率控制(EPC)方案相比,该算法能显著提高总EE。
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