| 摘要: |
| 为提升设备到设备（Device-to-Device,D2D）辅助的协作非正交多址接入（Non-orthogonal Multiple Access,NOMA）中继系统的性能，以最大化系统遍历容量为目标建立优化模型，利用粒子群优化（Particle Swarm Optimization,PSO）算法设计最优功率分配策略，求出每个用户的最佳功率分配因子，从而得到系统遍历容量的最优值。仿真结果表明，所提出的基于PSO的功率分配方案不仅能提高系统容量，还可以降低用户的中断概率。 |
| 关键词: 非正交多址接入（NOMA） 功率分配 粒子群优化算法 遍历容量优化 |
| DOI：10.20079/j.issn.1001-893x.220404004 |
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| 基金项目:国家自然科学基金资助项目（61762011）；广西自然科学基金(2018GXNSFAA294059)；广西民族大学研究生创新计划项目（gxun-chxs2021060） |
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| An Ergodic Capacity Optimization Scheme Based on Particle Swarm Algorithm for DC-NOMA System |
| LI Yu,LUO Liping |
| (School of Electronic Information,Guangxi Minzu University,Nanning 530006,China) |
| Abstract: |
| In order to improve the performance of device-to-device（D2D）assisted cooperative non-orthogonal multiple access（(NOMA）relay systems,an optimization problem is formulated to maximize the system ergodic capacity.The Particle Swarm Optimization(PSO) algorithm is employed to design the optimal power allocation strategy.The most appropriate power allocation factor is obtained for each user,and then the maximum system ergodic capacity is achieved.Simulation results show that the proposed PSO power allocation scheme can improve the system capacity and outage performance. |
| Key words: non-orthogonal multiple access(NOMA) power allocation particle swarm optimization algorithm ergodic capacity optimization |
《电讯技术》编辑部 