Genetic Algorithm Approach for Resource Allocation in Multi-User OFDM Systems

Y. Reddy, V. Phoha
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引用次数: 14

Abstract

A novel genetic algorithm application is proposed for adaptive power and subcarrier allocation in multi-user OFDM systems. The proposed method is compared with Eshan's [Ehsan Bakhtiari and Babak H. Khalaj, "A new Joint Power and Subcarrier Allocation Scheme for Multiuser OFDM Systems", 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, Beijing, China, Vol. 2, PP 1959 -1963, Sept 7 -10, 2003.] power and subcarrier allocation algorithm and Wang's modified genetic algorithm [Yongxue Wang et al.,"Adaptive Subcarrier and Bit Allocation for Multiuser OFDM System Based on Genetic Algorithm", IEEE 2005.]. Our method has fast convergence and can handle large allocations of subcarriers to users without performance degradation. The simulation results show that our approach is a viable alternative to existing methods for optimum resource allocation.
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多用户OFDM系统中资源分配的遗传算法
提出了一种新的遗传算法应用于多用户OFDM系统的自适应功率和子载波分配。该方法与Eshan的Ehsan Bakhtiari和Babak H. Khalaj的“多用户OFDM系统的一种新的联合功率和子载波分配方案”进行了比较,第14届IEEE个人、室内和移动无线电通信论文集,北京,第2卷,PP 1959 -1963, 2003年9月7 -10日。王永学等,“基于遗传算法的多用户OFDM系统自适应子载波和位分配”,IEEE 2005。该方法收敛速度快,可以处理大量子载波分配给用户而不降低性能。仿真结果表明,该方法是现有资源优化分配方法的可行替代方案。
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