NOMA系统中基于用户服务质量需求的资源分配算法设计

QoS-based Resource Allocation Algorithm Design in NOMA System

为了满足第六代移动通信对大规模接入和用户服务质量的高要求,下一代多址接入技术被提出,其中非正交多址接入(Non-Orthgonal Multiple Access, NOMA)是关键技术之一。在NOMA系统中,为了解决用户间的多址干扰,使用连续干扰消除(Successive Interference Cancellation, SIC)技术,其解码顺序是重要的考虑因素之一。大多数研究中,SIC的解码顺序通常基于信道状态信息,但在用户信道状态相似的情况下,这种方法不稳定。主要研究使用基于用户服务质量(Quality of Service, QoS)的SIC解码顺序的上行NOMA系统,并提出一种联合优化方案,包括功率分配和用户分组,以确保用户QoS要求的同时,最大化高速率和速率之和。仿真结果表明,该算法能够以较低的复杂度获得与穷尽搜索相近的结果。

To meet the high requirements for massive access and user service quality in the 6th generation of mobile communication,the next generation multiple access technology has been proposed,among which Non-Orthogonal Multiple Access(NOMA)is a key technology.In NOMA system,Successive Interference Cancellation(SIC)is used to solve multi-user interference,and the decoding order of SIC is an important consideration.In most studies,decoding order of SIC is usually based on channel state information,but this method is unstable when users have similar channel states.This paper mainly studies uplink NOMA system using SIC decoding order based on user Quality of Service(QoS),and proposes a joint optimization scheme including power allocation and user grouping to maximize the sum rate while ensuring user QoS requirements.Simulation results show that the algorithm can achieve results close to exhaustive search with lower complexity.