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On the performance of cooperative cognitive networks with selection combining and proactive relay selection

Khuong Van Ho 1, *
Son Que Vo 1
Tra Thanh Luu 1
Lien Hong Pham 2
  1. Ho Chi Minh city University of Technology, VNU-HCM, Vietnam
  2. University of Technical Education, Ho Chi Minh city, Vietnam
Correspondence to: Khuong Van Ho, Ho Chi Minh city University of Technology, VNU-HCM, Vietnam. Email: pvphuc@vnuhcm.edu.vn.
Volume & Issue: Vol. 18 No. 3 (2015) | Page No.: 29-38 | DOI: 10.32508/stdj.v18i3.882
Published: 2015-08-30

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Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

This paper proposes an outage analysis framework for cooperative cognitive networks with proactive relay selection and selection combining (SC) under licensed outage constraint, maximum transmit power constraint, independent non-identical (i.n.i) fading distributions, erroneous channel information, and licensed users’ interference. Towards this end, we firstly suggest power allocation for unlicensed transmitters to satisfy power constraints and account for erroneous channel information and licensed users’ interference. Then, we propose an exact closed-form outage probability formula for the unlicensed network to promptly evaluate system performance and provide useful insights into performance limits. Multiple results show performance trade-off between the unlicensed network and the licensed network, error floor in the unlicensed network, considerable system performance degradation owing to erroneous channel information and licensed users’ interference, and significant performance enhancement due to the increase in the number of relays.

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