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Modified Particle Swarm Optimization and Genetic Algorithm Based Adaptive Resources Allocation Algorithm for Multiuser Orthogonal Frequency Division Multiplexing System

机译:改进的粒子群优化与遗传算法的多用户正交频分复用系统自适应资源分配算法

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In this study, we divided adaptive resources allocation for multiuser OFDM system into two continuous parts: (1) subcarrier allocation and (2) power allocation and proposed a modified particle swarm optimization (PSO and GA) to deal with this adaptive resources allocation for multiuser OFDM system in three main scenarios: (1) multiuser unicast services; (2) multiuser multicast services at low and constant rate and (3) multiuser multicast services at high rate. Simulation results show that adaptive resources allocation for multiuser OFDM system can be done by normal PSO and modified PSO in these three scenarios. Comparing the allocation scheme of both algorithms, this modified PSO (PSO and GA) can greatly improve performance of adaptive resources allocations.
机译:在这项研究中,我们将多用户OFDM系统的自适应资源分配分为两个连续的部分:(1)子载波分配和(2)功率分配,并提出了一种改进的粒子群优化算法(PSO和GA)来处理这种针对多用户的自适应资源分配OFDM系统在三种主要情况下:(1)多用户单播服务; (2)低速率和恒定速率的多用户多播服务,以及(3)高速率的多用户多播服务。仿真结果表明,在这三种情况下,正常的PSO和改进的PSO均可为多用户OFDM系统分配自适应资源。比较两种算法的分配方案,此改进的PSO(PSO和GA)可以大大提高自适应资源分配的性能。

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