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On the use of immune clonal optimization for joint subcarrier and power allocation in OFDMA with proportional fairness rate
Author(s) -
Chai Zhengyi,
Liu Fang,
Qi Yutao,
Zhu Sifeng
Publication year - 2013
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.1395
Subject(s) - subcarrier , computer science , orthogonal frequency division multiple access , resource allocation , mathematical optimization , power (physics) , optimization problem , frequency division multiple access , selection (genetic algorithm) , constraint (computer aided design) , orthogonal frequency division multiplexing , telecommunications , algorithm , computer network , artificial intelligence , mathematics , channel (broadcasting) , physics , geometry , quantum mechanics
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.