Rate Analysis of Full-Pilot Zero-Forcing in Cell-Free Massive MIMO with Low- Resolution ADCs

X. Ruan, Meng Zhou, Xu Qiao, Xiaotao Wang, Yao Zhang, Longxiang Yang
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Abstract

In contrast to classical zero-forcing (ZF) receiver, a new one called full-pilot zero-forcing (fpZF) receiver is exploited in our work. Based on this, we investigate the achievable uplink rate of a cell-free massive multi-input multi-output (MIMO) system with low-resolution analog-to-digital converters (ADCs) at the access points (APs). In order to carry out the tractable analysis on multiple quantization bits, we advocate the additive quantization noise model (AQNM). Quantization technology is a very effective method to lower the cost of transmission in the case where high data fidelity is not needed. After each AP receiving the payload data transmitted from all users, the quantization procedure is implemented in a distributed manner. Then a closed-form expression of achievable uplink rate is derived, which helps us to investigate system performance. The results in our simulation experiments indicate the fpZF receiver performs much better than the conjugate beamforming (CB) receiver when high-bit ADCs are used to process these received signals. However, when few-bit ADCs are adopted, its performance will decrease a lot and is dramatically inferior to the CB receiver, which is not as well as we expect. This observation demonstrates the fpZF receiver is more sensitive to the quantization operation than the CB receiver.
低分辨率adc无小区大规模MIMO全导频零强迫速率分析
与传统的零强迫(ZF)接收机相比,本文提出了一种新型的全导频零强迫(fpZF)接收机。在此基础上,我们研究了在接入点(ap)上使用低分辨率模数转换器(adc)的无小区大规模多输入多输出(MIMO)系统的可实现上行速率。为了对多个量化比特进行可处理的分析,我们提出了加性量化噪声模型(AQNM)。在对数据保真度要求不高的情况下,量化技术是降低传输成本的有效方法。每个AP接收到所有用户传输的有效载荷数据后,以分布式方式实现量化过程。然后导出了可达上行速率的封闭表达式,这有助于我们研究系统的性能。仿真实验结果表明,当使用高位adc处理接收信号时,fpZF接收机的性能远优于共轭波束形成(CB)接收机。然而,当采用少量adc时,其性能会下降很多,明显不如CB接收机,这并不像我们期望的那样好。这一观察结果表明,fpZF接收机比CB接收机对量化操作更敏感。
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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