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Adaptive Resource Allocation Algorithm for Multiuser OFDM System

机译：多用户OFDM系统的自适应资源分配算法

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摘要

OFDM system has been widely used in radio resource management because of their high spectrum utilization. However, the limited resources in actual systems include the available subcarriers and the maximum transmission power of the system. Considering the optimal allocation of subcarriers and power, it is too complex to do it. Because genetic algorithm is especially suitable for solving the optimization problem of multi-parameter nonlinearity in OFDM system based on the principle of maximizing system capacity and minimizing transmission power, it can further improve system performance. Therefore, this paper proposes an adaptive resource allocation algorithm for multi-user OFDM system based on genetic algorithm, which combines genetic algorithm with OFDM spectrum allocation algorithm from coding, crossover and mutation. Performance simulation results show that the new algorithm can further reduce the bit error rate of the system when the signal-to-noise ratio is the same.
机译：OFDM系统由于其高频谱利用率而广泛用于无线电资源管理。然而，实际系统中的有限资源包括可用的子载波和系统的最大传输功率。考虑到子载波和电力的最佳分配，它太复杂了。因为遗传算法特别适用于基于最大化系统容量的原理和最小化传输功率的原理解决OFDM系统中多参数非线性的优化问题，但可以进一步提高系统性能。因此，本文提出了一种基于遗传算法的多用户OFDM系统的自适应资源分配算法，其将遗传算法与OFDM频谱分配算法与编码，交叉和突变结合。性能仿真结果表明，当信噪比相同时，新算法可以进一步降低系统的误码率。

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