Adaptive power allocation schemes based on IAFS algorithm for OFDM-based cognitive radio systems. Issue 1 (2nd January 2017)

• Record Type: Journal Article
• Authors: Zhang, Shuying; Zhao, Xiaohui; Liang, Cong; Ding, Xu
• Is Part Of: International journal of electronics. Volume 104:Issue 1(2017)
• Page Start: 1
• Page End: 15
• Publication Date: 2017-01-02
• Subjects: Cognitive radio -- power allocation -- OFDM -- swarm intelligence algorithm -- AFS algorithm; Electronics -- Periodicals; Electronic control -- Periodicals; 621.381
• DOI: 10.1080/00207217.2016.1178345
• Languages: English
• ISSNs: 0020-7217

Abstract

ABSTRACT: In cognitive radio (CR) systems, reasonable power allocation can increase transmission rate of CR users or secondary users (SUs) as much as possible and at the same time insure normal communication among primary users (PUs). This study proposes an optimal power allocation scheme for the OFDM-based CR system with one SU influenced by multiple PU interference constraints. This scheme is based on an improved artificial fish swarm (IAFS) algorithm in combination with the advantage of conventional artificial fish swarm (ASF) algorithm and particle swarm optimisation (PSO) algorithm. In performance comparison of IAFS algorithm with other intelligent algorithms by simulations, the superiority of the IAFS algorithm is illustrated; this superiority results in better performance of our proposed scheme than that of the power allocation algorithms proposed by the previous studies in the same scenario. Furthermore, our proposed scheme can obtain higher transmission data rate under the multiple PU interference constraints and the total power constraint of SU than that of the other mentioned works.