摘要
针对协作通信网的中继选择问题,提出了一种基于贝叶斯推理的自适应中继选择方案。该方案拓展地运用了放大转发协议的原理,准确地分析了中继节点后验概率,并以此选取最优的中继节点进行信息传输。实验仿真结果表明,该方案在信噪比恒定的情况下,显著地提高了网络性能。
Aiming at the relay selection problem in collaborative communication networks,a Bayesian inference-based relay selection scheme is proposed.The scheme extends the principle of amplify-and-forward protocol,and accurately calculates the posterior probability of the relay node.Then the optimal relay node for information transmission is selected.The simulation results show that the proposed scheme significantly improves the network performance in the case of constant signal-to-noise ratio.
作者
孙磊
丁茂
尹以雁
幸锋
李治文
张婧
郭建军
刘芫健
Sun Lei;Ding Mao;Yin Yiyan;Xing Feng;Li Zhiwen;Zhang Jing;Guo Jianjun;Liu Yuanjian(China Mobile Communica-tions Group Yunnan Co.Ltd.,Kunming 650228,China;College of Electronic and Optical Engineering&College of Flexible Electronics,Nan-jing University of Posts and Telecommunications,Nanjing 210023,China)
出处
《邮电设计技术》
2024年第1期74-78,共5页
Designing Techniques of Posts and Telecommunications
关键词
协作网络
5G
放大转发
中继选择
贝叶斯推理
Cooperative network
5G
Amplify-and-forward
Relay selection
Bayesian inference