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Title: Decode-and-forward buffer-aided relay selection in cognitive relay networks
Authors: Chen, Gaojie
Tian, Zhao
Gong, Yu
Chambers, Jonathon
Keywords: Buffer-aided decode-and-forward (DF) relay
Cognitive relay networks (CRNs)
Relay selection
Issue Date: 2014
Publisher: © IEEE
Citation: CHEN, G. ... et al, 2014. Decode-and-forward buffer-aided relay selection in cognitive relay networks. IEEE Transactions on Vehicular Technology, 63 (9), pp. 4723-4728.
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.
Description: © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Version: Accepted for publication
DOI: 10.1109/TVT.2014.2311301
URI: https://dspace.lboro.ac.uk/2134/25654
Publisher Link: http://dx.doi.org/10.1109/TVT.2014.2311301
ISSN: 0018-9545
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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