摘要
非正交多址接入(Non-Orthogonal Multiple Access,NOMA)是解决未来大规模接入场景的潜在技术,在多小区NOMA系统中干扰情况变得异常复杂,既存在小区间干扰,又存在NOMA用户间干扰。为了满足特定的用户服务质量,功率控制变得十分重要,针对多小区、多用户NOMA上行功率控制问题展开研究。为了对抗路径损耗的影响,且在基站处有效区分各用户信号,提出了多路径损耗补偿因子的部分功率控制(Fractional Power Control,FPC)方案,其有效地解决了已有等路径损耗补偿因子功率控制方案的不足。为了进一步使各个用户获得最优的上行路径损耗补偿因子,提出使用强化学习中的Q-learning算法联合优化NOMA系统远近用户的路径损耗补偿因子,其可同时兼顾小区间干扰与NOMA用户间干扰。仿真结果表明,提出的功率控制方案可以获得比已有方案更高的和速率性能。
Non-orthogonal multiple access(NOMA)is capable of solving the massive access in future communication systems.However,in multi-cell NOMA systems,the interference becomes quite complicated,which includes inter-cell interference and inter-user interference.In order to satisfy the user-specific quality of service,power control is envisioned as a powerful tool.In this paper,we study the power control in multi-cell NOMA systems with multiple users.In order to deal with the pass loss and distinguish the different users’signals,a fractional power control scheme with multiple path loss compensation factors is proposed,which can effectively address the limitation of the existing scheme with a single path loss compensation factor.Furthermore,in order to achieve the optimal path loss compensation factors,a Q-learning algorithm is developed to jointly optimize the path loss compensation factors.In simulations,it is shown that the proposed power control scheme outperforms the existing scheme in terms of the sum rate.
作者
张翔宇
ZHANG Xiangyu(College of Telecommunication&Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)
出处
《技术与市场》
2021年第10期15-20,共6页
Technology and Market
