摘要
面向工业5G网络的超可靠强实时传输要求,研究基于设备到设备通信(device-to-device,D2D)的多跳多中继辅助传输方法。基于随机几何理论,采用泊松点过程对工业现场设备进行建模,并划分中继选择区域。多跳中继过程中,每一跳中继选择信干噪比最大的节点进行解码转发,充分考虑层叠部署的多条D2D传输路径上的节点干扰以及随机噪声,推导出端到端中断概率的闭式表达式。仿真分析了中继节点部署密度、发射功率、路径距离等因素对端到端中断概率的影响。结果表明,采用多跳多中继辅助的D2D传输可以大幅降低工业5G网络的端到端中断概率,提高传输可靠性。
For ultra-reliable low latency communication of industrial 5G network,this paper studied multi-hop and multi-relay-assisted device-to-device communication scheme.Based on the stochastic geometry theory,this paper used the Poisson point process to model the devices in the industrial field and divided the relay selection area.During multi-hop transmission,the relay of each hop selected node with the largest signal to interference plus noise ratio for decoding and forwarding.Fully considering the node interference and random noise on the multiple D2D transmission paths,this paper derived the closed form expression of the end-to-end outage probability.Simulations demonstrated the influence of relay node deployment density,transmit power,path distance on the end-to-end outage probability.The results show that the use of multi-hop and multi-relay-assisted D2D transmission can greatly reduce the end-to-end outage probability of industrial 5G networks and improve transmission reliability.
作者
王准
许驰
王倚天
徐文彪
夏长清
金曦
Wang Zhun;Xu Chi;Wang Yitian;Xu Wenbiao;Xia Changqing;Jin Xi(College of Information Engineering,Shenyang University of Chemical Technology,Shenyang 110142,China;Key Laboratory of Networked Control Systems,Chinese Academy of Sciences,Shenyang 110016,China;Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110169,China;Institutes for Robotics&Intelligent Manufacturing,Chinese Academy of Sciences,Shenyang 110169,China)
出处
《计算机应用研究》
CSCD
北大核心
2022年第5期1510-1513,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(62173322,61803368,62133014,61972389,61903356)
中国博士后科学基金资助项目(2019M661156)
中国科学院青年创新促进会资助项目(2019202)
辽宁省自然科学基金资助项目(2020-MS-034)。
关键词
工业5G
D2D通信
随机几何
中继选择
中断概率
industrial 5G
D2D communication
stochastic geometry
relay selection
outage probability