Energy efficiency optimization based self-interference cancellation in massive MIMO full-duplex system

Daimeng Chen, Fangfang Liu, Chunyan Feng, Jianbo Shi, Xiao Han
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引用次数: 2

Abstract

This paper focuses the problems of self-interference cancellation (SIC) in single cell massive MIMO full-duplex system. Based on the current research, some traditional SIC schemes are difficult to be applied in massive MIMO full-duplex system since these schemes require the instantaneous channel state information (CSI) of self-interference channel (CSI-SI) but the instantaneous CSI-SI is unable to obtain in massive MIMO. In addition, the other feasible SIC schemes without the instantaneous CSI-SI will reduce the system energy efficiency significantly. Therefore, we propose a energy efficiency optimization based SIC scheme (EE-SIC) without the instantaneous CSI-SI, which can eliminate SI effectively and improve system energy efficiency simultaneously by the energy efficiency optimization algorithm. The simulation result demonstrates that the proposed EE-SIC scheme is not only able to eliminate SI effectively for improving the sum achievable rate, but also improve the energy efficiency significantly compared with the self-interference cancellation scheme without energy efficiency optimization. Furthermore, it can make the uplink and downlink achievable rate both increase with the number of users uniformly.
基于能效优化的大规模MIMO全双工系统自干扰消除
本文主要研究单cell大规模MIMO全双工系统中的自干扰消除问题。基于目前的研究,一些传统的SIC方案由于需要自干扰信道(CSI- si)的瞬时信道状态信息(CSI)而在大规模MIMO中无法获得,因此难以应用于大规模MIMO全双工系统。此外,其他可行的SIC方案如果没有瞬态CSI-SI,则会显著降低系统的能效。因此,我们提出了一种基于能效优化的SIC方案(EE-SIC),该方案不需要瞬时的CSI-SI,可以有效地消除SI,同时通过能效优化算法提高系统能效。仿真结果表明,所提出的EE-SIC方案不仅能够有效地消除SI,提高和可达率,而且与不进行能效优化的自干扰对消方案相比,显著提高了能效。此外,它可以使上行链路和下行链路的可达速率都随用户数量的增加而均匀增加。
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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