Ho-Van, K, Sofotasios, PC, Alexandropoulos, GC et al. (1 more author) (2015) Bit Error Rate of Underlay Decode-and-Forward Cognitive Networks with Best Relay Selection. Journal of Communications and Networks, 17 (2). pp. 162-171. ISSN 1229-2370
Abstract
This paper provides an analytic performance evaluation of the bit error rate (BER) of underlay decode-and-forward cognitive networks with best relay selection over Rayleigh multipath fading channels. A generalized BER expression valid for arbitrary operational parameters is firstly presented in the form of a single integral, which is then employed for determining the diversity order and coding gain for different best relay selection scenarios. Furthermore, a novel and highly accurate closed-form approximate BER expression is derived for the specific case where relays are located relatively close to each other. The presented results are rather convenient to handle both analytically and numerically, while they are shown to be in good agreement with results from respective computer simulations. In addition, it is shown that as in the case of conventional relaying networks, the behaviour of underlay relaying cognitive networks with best relay selection depends significantly on the number of involved relays.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 KICS. This is an author produced version of a paper published in Journal of Communications and Networks. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Bit error rate (BER); cognitive radios; cooperative relaying; Rayleigh fading; relay selection; underlay communication |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 Sep 2016 10:11 |
Last Modified: | 16 Jan 2018 14:59 |
Published Version: | http://dx.doi.org/10.1109/JCN.2015.000030 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/JCN.2015.000030 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:101056 |