Multipair Massive MIMO Two-Way Full-Duplex Relay Systems with Hardware Impairments
Ying Liu, Xipeng Xue, Jiayi Zhang, Xu Li, Linglong Dai, Shi Jin

TL;DR
This paper analyzes the impact of hardware impairments on multipair massive MIMO two-way full-duplex relay systems, deriving spectral efficiency expressions, a hardware scaling law, and optimal antenna number for energy efficiency.
Contribution
It introduces a novel hardware scaling law for massive MIMO relay systems and provides practical design insights for low-cost, high-performance implementations.
Findings
Spectral efficiency expressions derived for impaired systems
Hardware impairments scale roughly with the square root of antenna number
Optimal relay antenna count maximizes energy efficiency
Abstract
Hardware impairments, such as phase noise, quantization errors, non-linearities, and noise amplification, have baneful effects on wireless communications. In this paper, we investigate the effect of hardware impairments on multipair massive multiple-input multiple-output (MIMO) two-way full-duplex relay systems with amplify-and-forward scheme. More specifically, novel closed-form approximate expressions for the spectral efficiency are derived to obtain some important insights into the practical design of the considered system. When the number of relay antennas increases without bound, we propose a hardware scaling law, which reveals that the level of hardware impairments that can be tolerated is roughly proportional to . This new result inspires us to design low-cost and practical multipair massive MIMO two-way full-duplex relay systems. Moreover, the optimal number of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFull-Duplex Wireless Communications · Advanced MIMO Systems Optimization · Cooperative Communication and Network Coding
