On the use of immune clonal optimization for joint subcarrier and power allocation in OFDMA with proportional fairness rate |
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Authors: | Zheng‐yi Chai Fang Liu Yu‐tao Qi Si‐feng Zhu |
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Affiliation: | 1. School of Computer Science and Technology, Xidian University, , Xi'an, 710071 China;2. School of Information Science and Engineering, Hennan University of Technology, , ZhengZhou, 450001 China;3. Key Laboratory of Intelligent Perception and Image Understanding, Ministry of Education of China, Xidian University, , Xi'an, 710071 China |
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Abstract: | 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. |
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Keywords: | artificial immune system OFDMA proportional fairness rate resource allocation subcarrier allocation power allocation |
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