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Joint sensing time and power allocation in cognitive networks with amplify-and-forward cooperation

Joint sensing time and power allocation in cognitive networks with amplify-and-forward cooperation Cognitive radio is a novel approach to cope with spectrum scarcity, in which either a network or a wireless node changes its transmission or reception parameters to communicate efficiently. However, it is difficult to avoid the interference between licensed and unlicensed users in various scenarios. This paper analyzes the jointly optimized allocation of sensing time and power for a two-user, amplify-and-forward (AF) cognitive network developed by maximizing the average aggregate throughput of its secondary network. In particular, this paper discusses diverse cooperation ratios for different scenarios and a unique cooperation ratio in spite of scenario changes. The observations of experiment results indicate that the sensing duration is within a strict interval. The results show that the optimized sensing time is 14.111 ms and the aggregate throughput equals to 1.1451 bps/Hz which are tractable by sequential optimization. This result indicates that by adopting the fixed cooperation ratios, the achievable throughput of the system is decreased. The system innovatively creates multiple independent fading channels to achieve technological diversity among partners. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annals of Telecommunications Springer Journals

Joint sensing time and power allocation in cognitive networks with amplify-and-forward cooperation

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Institut Mines-Télécom and Springer International Publishing AG, part of Springer Nature
Subject
Engineering; Communications Engineering, Networks; Information Systems and Communication Service; Signal,Image and Speech Processing; Computer Communication Networks; Information and Communication, Circuits; R & D/Technology Policy
ISSN
0003-4347
eISSN
1958-9395
DOI
10.1007/s12243-018-0625-8
Publisher site
See Article on Publisher Site

Abstract

Cognitive radio is a novel approach to cope with spectrum scarcity, in which either a network or a wireless node changes its transmission or reception parameters to communicate efficiently. However, it is difficult to avoid the interference between licensed and unlicensed users in various scenarios. This paper analyzes the jointly optimized allocation of sensing time and power for a two-user, amplify-and-forward (AF) cognitive network developed by maximizing the average aggregate throughput of its secondary network. In particular, this paper discusses diverse cooperation ratios for different scenarios and a unique cooperation ratio in spite of scenario changes. The observations of experiment results indicate that the sensing duration is within a strict interval. The results show that the optimized sensing time is 14.111 ms and the aggregate throughput equals to 1.1451 bps/Hz which are tractable by sequential optimization. This result indicates that by adopting the fixed cooperation ratios, the achievable throughput of the system is decreased. The system innovatively creates multiple independent fading channels to achieve technological diversity among partners.

Journal

Annals of Telecommunications – Springer Journals

Published: Jan 26, 2018

References

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