Joint Source-Relay Design for Full--Duplex MIMO AF Relay Systems
Qingjiang Shi, Mingyi Hong, Xiqi Gao, Enbin Song, Yunlong Cai,, Weiqiang Xu

TL;DR
This paper proposes a joint source and relay design for full-duplex MIMO AF relay systems, utilizing a novel optimization framework to mitigate self-interference and maximize data rate, validated through numerical simulations.
Contribution
It introduces a rank-one relay amplification matrix condition and a penalty-based optimization algorithm for joint source-relay design in FD MIMO AF systems.
Findings
The rank-one condition simplifies the rate maximization problem.
The P-BSUM algorithm effectively handles complex constrained optimization.
Joint design with the proposed methods outperforms rank-one assumptions in simulations.
Abstract
The performance of full-duplex (FD) relay systems can be greatly impacted by the self-interference (SI) at relays. By exploiting multi-antenna in FD relay systems, the spectral efficiency of FD relay systems can be enhanced through spatial SI mitigation. This paper studies joint source transmit beamforming and relay processing to achieve rate maximization for FD MIMO amplify-and-forward (AF) relay systems with consideration of relay processing delay. The problem is difficult to solve due mainly to the SI constraint induced by the relay processing delay. In this paper, we first present a sufficient condition under which the relay amplification matrix has rank one structure. Then, for the case of rank one amplification matrix, the rate maximization problem is equivalently simplified into an unconstrained problem which can be locally solved using gradient ascent method. Next, we propose a…
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