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

机译:多用户OFDM系统资源分配的遗传算法方法

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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 [2] power and subcarrier allocation algorithm and Wang's modified genetic algorithm [23]. 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.
机译:提出了一种新的遗传算法应用,用于多用户OFDM系统中的自适应电源和子载波分配。将所提出的方法与Eshan的[2]电源和子载波分配算法和Wang的修改遗传算法进行比较[23]。我们的方法具有快速的收敛性,可以处理对用户的大量子载波,而不会进行性能下降。仿真结果表明,我们的方法是对最优资源分配的现有方法的可行替代方案。

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