On the use of immune clonal optimization for joint subcarrier and power allocation in OFDMA with proportional fairness rate

• Published in: International journal of communication systems Vol. 26; no. 10; pp. 1273 - 1287
• Main Authors: Chai, Zheng-yi, Liu, Fang, Qi, Yu-tao, Zhu, Si-feng
• Format: Journal Article
• Language: English
• Published: Chichester Blackwell Publishing Ltd 01.10.2013; Wiley Subscription Services, Inc
• Subjects: artificial immune system; OFDMA; power allocation; proportional fairness rate; resource allocation; subcarrier allocation
• ISSN: 1074-5351; 1099-1131
• DOI: 10.1002/dac.1395

SUMMARY Resource allocation in orthogonal frequency division multiple access is a constraint optimization problem. In this paper, we concentrate on maximizing both the sum capacity and proportional fairness rate among users. The optimization model of resource allocation is formulated and then an immune clonalbased algorithm is proposed for it. The resource allocation is solved by separating the subcarrier and power allocation in two steps. Suitable immune operators are designed, such as clonal, mutation, Baldwin learning, selection and so on. Experiments show that, compared with the previous methods, the proposed algorithm obtains higher sum capacity with comparable computational complexity, and keeps the proportional rate more fairly among users. Copyright © 2012 John Wiley & Sons, Ltd. The optimization model of resource allocation is formulated and then an immune clonal‐based algorithm is proposed for it. The resource allocation is solved by separating the subcarrier and power allocation in two steps. Experiments show that, compared with the previous methods, the proposed algorithm obtains higher sum capacity with comparable computational complexity, and keeps the proportional rate more fairly among