This study focuses on the power allocation (PA) problem in code division multiple access (PDMA) networks with amplify-and-forward (AF) relays. We provide two wireless communication technical performance indexes, which are system throughput and outage probability. A multiobjective version of particle swarm optimization is proposed to solve Pareto-optimal solutions for optimal PA problems. A novel programming model is built based on improvement of constraint functions, and the accuracy and efficiency of solution can be improved via compact constraints. The technique for order preference by similarity to an ideal solution is proposed to balance the performance indicators, which include outage probability and system throughput. It has been calculated that the proposed approach for optimal PA is verified and performs better than a genetic algorithm approach.

中文翻译：

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协作模式划分多址系统的最佳功率分配

这项研究的重点是带有放大转发（AF）中继的码分多址（PDMA）网络中的功率分配（PA）问题。我们提供了两个无线通信技术性能指标，分别是系统吞吐量和中断概率。提出了粒子群优化算法的多目标版本，以解决最优PA问题的帕累托最优解。基于约束函数的改进，建立了新颖的编程模型，通过紧凑约束可以提高求解的精度和效率。提出了一种与理想解决方案相似的顺序偏好技术，以平衡性能指标，包括停机概率和系统吞吐量。