URLLC场景下信道可靠连通度预测  

Channel connectivity reliability prediction in URLLC scenario

作　　者：王希[1] 任惠[1] 王威 张嘉怡 赵洪山[1] WANG Xi;REN Hui;WANG Wei;ZHANG Jiayi;ZHAO Hongshan(College of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,China)

机构地区：[1]华北电力大学电气与电子工程学院,河北保定071003

出　　处：《系统工程与电子技术》2024年第5期1810-1819,共10页Systems Engineering and Electronics

基　　金：国家自然科学基金青年资助项目(51107040)资助课题。

摘　　要：第五代移动通信技术(5th generation,5G)中高可靠低时延通信(ultra reliability and low latency communication,URLLC)应用场景,十分契合航空5G机场场面宽带移动通信系统建设要求。以丢包率为定义的可靠性指标没有反应时变无线信道的时间依赖性和不同URLLC服务所需的持续时间。针对以上存在的问题,运用生存分析的方法,将URLLC关键技术与可靠性理论中失效率相结合,提出了可靠连通度指标,基于接收端信号强度,建立理论分布模型和数据驱动模型,对时变信道在未来1子帧内可靠连通度进行预测,并建立城市宏单元非视距簇时延线信道模型算例对模型进行对比分析,并在不同雨衰条件下,分析信道系统的可靠连通度。结果表明,数据驱动模型可靠性预测的均方误差(mean square error,MSE)可达0.1%,优于理论分布模型,且在恶劣天气情况下,多输入多输出信道可靠性相比于多输入单输出信道具有更高的抗衰落能力。The application scenario of ultra reliability and low latency communication(URLLC)in the 5th generation mobile communication technology(5G)is very suitable for the construction of aeronautical mobile airport communications system in the 5G airport scene.The reliability indicator defined by packet loss rate does not reflect the time dependence of time-varying wireless channels and the transmission duration required by different URLLC services.In view of the above problems,the survival analysis method is adopted,the key technology of URLLC with the failure rate in reliability theory is combined,and the reliable connectivity indicator is proposed,which is based on the receiver signal strength.A theoretical distribution model and a data-driven model are proposed to predict the reliable connectivity of time-varying channels in the next subframe,and an example of the urban macro-nonLine of sight-cluster time delay line channel model is established to compare and analyze the models,and the reliable connectivity of the channel system is analyzed under different rain decline conditions.The results show that the data-driven model reliability prediction has a mean square error(MSE)of up to 0.1%,which is better than the theoretical distribution model,and the multi-input multi-output channel reliability has higher fading resistance compared to the multi-input single-output channel under severe weather conditions.

关 键 词：5G通信 高可靠低时延通信场景 可靠性 机器学习 

分 类 号：TN914[电子电信—通信与信息系统]