Rate adaptive resource allocation in orthogonal frequency division multiple access system using multi-objective immune algorithm

SUMMARY Rate adaptive downlink resource allocation in orthogonal frequency division multiple access system is a constraint optimization problem, which is to maximize the minimum data rate of the user subject to constraint that total power cannot exceed a given value. How to handle the constraint is...

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Veröffentlicht in:International journal of communication systems Jg. 27; H. 11; S. 3255 - 3265
Hauptverfasser: Zheng-Yi, Chai, Si-Feng, Zhu, Lian-Feng, Shen
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Chichester Blackwell Publishing Ltd 01.11.2014
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Schlagworte:
Adaptive algorithms
Adaptive systems
Algorithms
artificial immune system
Artificial intelligence
constraint
Frequency division multiple access
Handling
minimum data rate
multi-objective optimization
OFDMA
Optimization
rate adaptive resource allocation
Resource allocation
ISSN:1074-5351, 1099-1131
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Zusammenfassung:SUMMARY Rate adaptive downlink resource allocation in orthogonal frequency division multiple access system is a constraint optimization problem, which is to maximize the minimum data rate of the user subject to constraint that total power cannot exceed a given value. How to handle the constraint is a key issue for constrained optimization problem. Different with the available schemes on constraint handling, the proposed algorithm converts the constraint into an objective. Then, the resource allocation is combined into a multi‐objective optimization problem. An improved multi‐objective optimization algorithm based on artificial immune system is proposed to solve it. The simulation results show that, compared with previous schemes, the proposed algorithm performs remarkable improvement in sum capacity. Copyright © 2013 John Wiley & Sons, Ltd. Different with the available schemes on constraint handling, the proposed algorithm converts the constraint into an objective. Then, the resource allocation is combined into a multi‐objective optimization problem. An improved multi‐objective optimization algorithm based on artificial immune system is proposed to solve it.
Bibliographie:ArticleID:DAC2539
National Natural Science Foundation of China - No. 61202099; No. 61171081; No. 61201175; No. 61271207; No. U1204618
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ISSN:1074-5351
1099-1131
DOI:10.1002/dac.2539