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Study of relay selection in a multi-cell cognitive network

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journal contribution
posted on 2017-06-30, 12:38 authored by Gaojie Chen, Yu GongYu Gong, Jonathon Chambers
This paper studies best relay selection in a multi-cell cognitive network with amplify-and-forward (AF) relays. We derive the analytical integral-form expression of the cumulative distribution function (CDF) for the received signal-to-noise-plus-interference-ratio (SINR) at the destination node, based on which the closed-form of the outage probability is obtained. Analysis shows that the proposed relay selection scheme achieves the best SINR at the destination node with interference to the primary user being limited by a pre-defined level. Simulation results are also presented to verify the analysis. The proposed relay selection approach is an attractive way to obtain diversity gain in a multi-cell cognitive network.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Wireless Communications Letters

Volume

2

Issue

4

Pages

435 - 438

Citation

CHEN, G., GONG, Y. and CHAMBERS, J., 2013. Study of relay selection in a multi-cell cognitive network. IEEE Wireless Communications Letters, 2 (4), pp. 435-438.

Publisher

© IEEE

Version

  • AM (Accepted Manuscript)

Publication date

2013

Notes

© 2013 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

2162-2337

eISSN

2162-2345

Language

  • en