收稿日期: 2016-09-25
修回日期: 2016-12-16
网络出版日期: 2017-05-30
基金资助
国家自然科学基金（No.61301103，No.61572254）；南京航空航天大学研究生创新基地（实验室）开放基金（No.kfjj20170402）资助
Resource Allocation Based on Genetic Algorithm and Particle Swarm Optimization for Cognitive OFDM Network
Received date: 2016-09-25
Revised date: 2016-12-16
Online published: 2017-05-30
董莉, 宋晓勤, 韩杰 . 基于遗传粒子群优化的认知OFDM网络资源分配算法[J]. 应用科学学报, 2017 , 35(3) : 288 -298 . DOI: 10.3969/j.issn.0255-8297.2017.03.002
For multi-user resource allocation in orthogonal frequency division multiplexing (OFDM)-based cognitive radio (CR) networks, a resource allocation algorithm is proposed to maximize system capacity under the constraint of transmission power budget, interference threshold of primary users, and proportional fairness among secondary users. A subcarrier allocation scheme based on genetic algorithm (GA) is designed. Particle swarm optimization (PSO) combined with multistage punishment function is then used to power allocation. Simulation results show that the proposed algorithm can obtain a good system capacity close to the optimal method, and improve proportional fairness among secondary users with low computation complexity.
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