A Novel Genetic-Based Resource Allocation and Cooperative Node Selection Technique for Physical Layer Security Designs

A Novel Genetic-Based Resource Allocation and Cooperative Node Selection Technique for Physical... This paper presents a novel approach for power allocation and cooperative node selection to enhance physical layer security in presence of an eavesdropper in a wireless network. Our network consists of a source–destination pair and a number of cooperative nodes which can be used as relays to increase throughput at the destination, or as friendly jammers to confuse eavesdropper. First, we introduce a low complexity method, for which relay−jammer selection and power allocation are performed, simultaneously. Then, we propose self-adaptive genetic algorithm to solve the non-linear non-convex programing problem. Using the proposed method, the number of friendly jammers that ensure the secrecy rate requirements as well as the power constraints can be determined. Simulation results illustrate that the proposed method outperforms conventional selection and power allocation techniques in terms of solution quality, simplicity and computational load. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Wireless Personal Communications Springer Journals

A Novel Genetic-Based Resource Allocation and Cooperative Node Selection Technique for Physical Layer Security Designs

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Publisher
Springer US
Copyright
Copyright © 2017 by Springer Science+Business Media New York
Subject
Engineering; Communications Engineering, Networks; Signal,Image and Speech Processing; Computer Communication Networks
ISSN
0929-6212
eISSN
1572-834X
D.O.I.
10.1007/s11277-017-4116-4
Publisher site
See Article on Publisher Site

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