基于混沌粒子群优化算法的NOMA功率分配研究

非正交多址接入(NOMA)技术使多个用户共享一个时频资源块,显著地提高了频谱利用率,已成为5G多址技术的研究热点。针对NOMA系统能量效率最大化问题,对非正交多址接入技术中功率分配进行了研究,提出了基于混沌粒子群优化算法的NOMA功率分配方案。建立了能量效率最大化的NOMA优化模型,利用混沌粒子群优化算法对系统功率进行分配,使NOMA系统的能量效率得到优化。仿真结果表明,当发射功率为36 dBm时,系统能量效率最大,且与传统粒子群算法相比所需迭代次数更少,获得的能量效率更优。

Research on NOMA power allocation based on chaotic particle swarm optimization

Non-orthogonal multiple access (NOMA ) technology, which enables multiple users to share a single time-frequency resource block, has become a research hotspot of 5G multiple access technology. In order to maximize the energy efficiency of NOMA system, power allocation in non-orthogonal multiple access technology is studied, and a new NOMA power allocation scheme based on chaotic particle swarm optimization is proposed. The energy efficiency optimization model of NOMA is established, and the energy efficiency of the NOMA system is optimized by using the chaotic particle swarm optimization to distribute the power of the system. The simulation results show that the energy efficiency of the system is maximum when the power is 36dBm, and the iteration times are less and the energy efficiency is better than traditional particle swarm optimization algorithm.