基于改进粒子群算法的多载波NOMA功率分配策略

相较于传统正交多址接入，非正交多址接入技术由于在系统吞吐量、频谱效率和能量效率等方面的优势，使其成为5G多址技术研究热点.针对NOMA下行链路的系统能量效率优化问题，提出一种基于改进粒子群算法的功率分配策略.建立了基于能量效率最大化的优化模型，在标准粒子群算法的基础上提出三点改进，并将改进后的粒子群算法用于求解最大化系统能效的目标函数.研究结果表明，在最佳功率分配点处，改进后的粒子群算法使系统能量效率显著提高.

Multicarrier NOMA Power Allocation Strategy Based on Improved Particle Swarm Optimization Algorithm

As non-orthogonal multiple access technology can achieve higher system throughput,spectrum efficiency and energy efficiency than traditional orthogonal access technology,it has become a research hotspot of 5G multiple access technology.In this paper,a power allocation strategy based on Improved Particle Swarm Optimization (IPSO) is proposed to optimize the energy efficiency of NOMA downlink system.The Standard Particle Swarm Optimization (SPSO) is improved in three aspects,and the IPSO algorithm is used to solve the objective function to maximize the energy efficiency of the system.The simulation results show that at the optimal power allocation point,the IPSO algorithm can significantly improve the energy efficiency of the system.