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Decode-and-Forward Buffer-Aided Relay Selection in Cognitive Relay Networks

Lookup NU author(s): Professor Jonathon Chambers

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This is the authors' accepted manuscript of an article that has been published in its final definitive form by IEEE, 2014.

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Abstract

This paper investigates decode-and-forward (DF) buffer-aided relay selection for underlay cognitive relay networks (CRNs) in the presence of both primary transmitter and receiver. We propose a novel buffer-aided relay selection scheme for the CRN, where the best relay is selected with the highest signal-to-interference ratio (SIR) among all available source-to-relay and relay-to-destination links while keeping the interference to the primary destination within a certain level. A new closed-form expression for the outage probability of the proposed relay selection scheme is obtained. Both simulation and theoretical results are shown to confirm performance advantage over the conventional max-min relay selection scheme, making the proposed scheme attractive for CRNs.

Publication metadata

Author(s): Chen G, Tian Z, Gong Y, Chambers JA

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Vehicular Technology

Year: 2014

Volume: 63

Issue: 9

Pages: 4723-4728

Print publication date: 11/03/2014

Acceptance date: 08/03/2014

Date deposited: 08/02/2017

ISSN (print): 0018-9545

ISSN (electronic): 1939-9359

Publisher: IEEE

URL: http://dx.doi.org/10.1109/TVT.2014.2311301

DOI: 10.1109/TVT.2014.2311301

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