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将快速非支配遗传算法NSGA-Ⅱ用于MIMO-OFDMA系统下行信道的子载波和比特动态分配中,不仅能降低计算复杂度,而且能提升系统性能,提高系统资源分配效率。改进的NSGA-Ⅱ算法通过丢弃不同数目的精英个体,在保持原有算法优点的同时,可以增加个体的多样性,有效防止算法提前收敛或陷入局部最优解。本文提出了NSGA-Ⅱ算法的改进方案,以及将改进的算法用于MIMO-OFDMA系统多目标资源分配中的详细流程和参数设计。仿真结果表明改进的NSGA-Ⅱ算法能进一步提高系统的总容量,改善系统中资源分配的问题。
The rapid non-dominated genetic algorithm NSGA-II is used in the sub-carrier and bit dynamic allocation of the downlink channel of the MIMO-OFDMA system, which not only reduces computational complexity but also improves system performance and system resource allocation efficiency. By discarding different numbers of elite individuals, the improved NSGA-Ⅱ algorithm can increase individual diversity while maintaining the advantages of the original algorithm, and effectively prevent the algorithm from converging in advance or falling into a local optimal solution. In this paper, an improved scheme of NSGA-Ⅱ algorithm is proposed, and the detailed flow and parameter design of the improved algorithm for multi-objective resource allocation of MIMO-OFDMA system are proposed. The simulation results show that the improved NSGA-Ⅱ algorithm can further increase the total capacity of the system and improve the resource allocation in the system.