论文标题
全双工大规模MIMO系统中自我干预取消的绩效分析：减法与空间抑制
Performance Analysis of Self-Interference Cancellation in Full-Duplex Massive MIMO Systems: Subtraction versus Spatial Suppression
论文作者
论文摘要
大量的多输入多输出（MIMO）和全双工（FD）是实现光谱效率以满足5G通信需求的有前途的候选人。实现实用FD大规模MIMO系统的一个重要关键是如何有效减轻自身解干（SI）。但是，从传统上讲，通过反映实际信道特征的不同SI方法的性能比较在文献中不足。因此，本文介绍了FD大量MIMO系统中SI取消方法（SIC）方法的性能分析。分析和数值结果证实，在不完善的通道估计情况下，由于预编码器与SI通道的估计误差之间的相关性，上行链路中空间抑制的厄法d速度表现优于SI减法的表现。此外，我们讨论了哪种方法在不同给定的系统限制下的性能更好，例如上行链路和下行链路总和率，总发射功率以及功率扩展定律。
Massive multiple-input multiple-output (MIMO) and full-duplex (FD) are promising candidates for achieving the spectral efficiency to meet the needs of 5G communications. One essential key to realizing practical FD massive MIMO systems is how to effectively mitigate the self-interference (SI). Conventionally, however, the performance comparison of different SI methods by reflecting the actual channel characteristics was insufficient in the literature. Accordingly, this paper presents a performance analysis of SI cancellation (SIC) methods in FD massive MIMO systems. Analytical and numerical results confirm that, in an imperfect channel-estimation case, the ergodic rates performance of the spatial suppression in the uplink outperforms those of the SI subtraction, due to the correlation between the precoder and the estimation error of the SI channel. In addition, we discuss which method performs better under different given system constraints such as uplink and downlink sum rates, the total transmit power, and the power scaling law.
