Research Repository

Low-Complexity End-to-End Performance Optimization in MIMO Full-Duplex Relay Systems

Suraweera, Himal A and Krikidis, Ioannis and Zheng, Gan and Yuen, Chau and Smith, Peter J (2014) 'Low-Complexity End-to-End Performance Optimization in MIMO Full-Duplex Relay Systems.' IEEE Transactions on Wireless Communications, 13 (2). pp. 913-927. ISSN 1536-1276

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In this paper, we deal with the deployment of full-duplex relaying in amplify-and-forward (AF) cooperative networks with multiple-antenna terminals. In contrast to previous studies, which focus on the spatial mitigation of the loopback interference (LI) at the relay node, a joint precoding/decoding design that maximizes the end-to-end (e2e) performance is investigated. The proposed precoding incorporates rank-1 zero-forcing (ZF) LI suppression at the relay node and is derived in closed-form by solving appropriate optimization problems. In order to further reduce system complexity, the antenna selection (AS) problem for full-duplex AF cooperative systems is discussed. We investigate different AS schemes to select a single transmit antenna at both the source and the relay, as well as a single receive antenna at both the relay and the destination. To facilitate comparison, exact outage probability expressions and asymptotic approximations of the proposed AS schemes are provided. In order to overcome zero-diversity effects associated with the AS operation, a simple power allocation scheme at the relay node is also investigated and its optimal value is analytically derived. Numerical and simulation results show that the joint ZF-based precoding significantly improves e2e performance, while AS schemes are efficient solutions for scenarios with strict computational constraints.

Item Type: Article
Uncontrolled Keywords: MIMO relay networks; antenna selection; full-duplex relaying; outage probability; precoding
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 22 Aug 2015 20:06
Last Modified: 06 Jan 2022 14:39

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