全双工认知NOMA网络下中继选择策略性能分析

本文把非正交多址接入(NOMA)技术与认知网络相结合,提出了一种基于多中继选择的认知NOMA网络模型。考虑了在瑞利衰落信道下,主网络借助次级网络中的全双工中继实现可靠通信,作为回报,次级网络允许接入授权频谱来传输次级信号。中继同时接收主次信号后,采用串行干扰消除技术(SIC)依次解码主次信号,并根据NOMA协议转发信号到主次用户端。推导了在两种中继选择策略下认知NOMA网络中断概率,并通过了蒙特卡罗仿真验证。仿真结果表明,两阶段中继选择策略和全双工技术能有效提高系统中断性能。 

Performance Analysis of Relay Selection Strategy in Full-Duplex Cognitive NOMA Network

In this paper, a cognitive NOMA network model based on multiple relay selection is proposed by combining NOMA technology with cognitive network. In Rayleigh fading channel, the primary network achieves reliable communication through full-duplex relay in the secondary network. In return, the secondary network is allowed to access the authorized spectrum to transmit the secondary signals. After receiving the primary and secondary signals simultaneously, the serial interference cancellation technology (SIC) is used to decode the primary and secondary signals successively, and the signals are forwarded to the primary and secondary clients according to the NOMA protocol. The cognitive NOMA network outage performance under two relay selection strategies is derived and verified by Monte Carlo simulation. The simulation results show that the two-stage relay selection strategy and full duplex technology can effectively improve the outage performance of the system.