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Decode-and-forward buffer-aided relay selection in cognitive relay networks

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posted on 2017-06-30, 11:09 authored by Gaojie Chen, Zhao Tian, Yu GongYu Gong, Jonathon Chambers
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.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Transactions on Vehicular Technology

Volume

63

Issue

9

Pages

4723 - 4728

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.

Publisher

© IEEE

Version

  • AM (Accepted Manuscript)

Publication date

2014

Notes

© 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.

ISSN

0018-9545

eISSN

1939-9359

Language

  • en

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