基于两阶段最佳中继选择的H-CNOMA系统性能研究OA
Performance analysis of H-CNOMA system based on two-stage optimal relay selection
研究了基站采用功率域非正交多址接入技术向近用户和远用户传输信息的场景,提出了一种结合两阶段最佳中继选择策略的混合协作NOMA(H-CNOMA)方案.该方案采用解码转发协议,并考虑存在不完美串行干扰消除的情况.推导了系统内两用户的中断概率表达式,并通过数值模拟验证了 H-CNOMA方案相较于纯OMA方案系统性能更优越.此外,结合系统内中继节点及用户对信号的接收情况,建立了一维马尔可夫模型,推导出状态转移概率矩阵及系统稳态概率,并据此得出系统的吞吐量表达式.研究结果显示:系统内中继节点数量及节点间的距离对系统中断概率及吞吐量有显著影响.
A scenario was investigated where a base station employs power domain non-orthogonal multiple access technology to transmit information to both nearby and distant users and a Hybrid Cooperative NOMA(H-CNOMA)system that integrates a two-stage optimal relay selection strategy was proposed.The system operates using the Decode-and-Forward protocol and considers the presence of imperfect successive Interference Cancellation.The outage probability expressions for the two users within the system were derived,and numerical simulations verified that the H-CNOMA scheme achieves superior system performance compared to the conventional orthogonal multiple access(OMA)scheme.Additionally,based on the reception conditions of relay nodes and users within the system,a one-dimensional Markov model was established,from which the state transition probability matrix and system steady-state probabilities were derived,leading to an expression for system throughput.The study findings demonstrate that the number of relay nodes and the distance between nodes significantly impact the system's outage probability and throughput.
黎锁平;潘国栋;刘湘瑜
兰州理工大学理学院,甘肃兰州 730050兰州理工大学理学院,甘肃兰州 730050兰州理工大学理学院,甘肃兰州 730050
数理科学
中继选择NOMA马尔可夫模型中断概率吞吐量
relay selectionNOMAMarkov modeloutage probabilitythroughput
《华中科技大学学报(自然科学版)》 2026 (3)
109-116,8
国家自然科学基金资助项目(62467004).
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