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5G物联网接入及数据传输的跨层建模与性能分析

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物联网设备数量的爆发式增长对5G承载链路的建立和管理都带来了巨大的挑战.为有效支撑海量物联网通信,综合考虑海量承载链路的建立、维持和释放过程,借助离散时间排队论,围绕5G媒体接入控制(Medium Ac-cess Control,MAC)及无线资源控制(Radio Resource Control,RRC)层协议,对设备的随机接入和数据传输过程构建排队模型.基于该模型,推导了能量效率和数据吞吐量等关键性能指标关于数据传输速率、节点数据到达率、不活跃定时器等系统参数的数学表达式,并通过仿真进行了验证.为分析海量设备通信场景提供了跨协议层数学模型的支撑,对该场景下网络参数配置方案的设计有重要指导意义.
Cross-layer Modeling and Performance Analysis of Access and Data Transmission in 5G for Internet of Things
The explosive growth in internet of things devices poses great challenges for establishing and managing 5G bearer links.To effectively support massive internet of things communications,this paper comprehensively considers the processes of establishing,maintaining,and releasing massive bearer links.With the help of discrete time queuing theory,focusing on the 5G Medium Access Con-trol(MAC)and Radio Resource Control(RRC)layer protocol,a queuing model is constructed for random access to devices and data transmission process.Based on this model,the mathematical expressions of key performance indicators such as energy efficiency and data throughput concerning system parameters such as data transmission rate,node data arrival rate and inactive timer are derived and verified by simulation.This paper provides a cross-protocol layer mathematical model to support the analysis of massive device communi-cation scenarios.It has important guiding significance for designing network configuration schemes in such scenarios.

cross-layer modelingrandom accessdata transmissionperformance analysisdiscrete-time queuing theory

郭泓志、詹文、孙兴华

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中山大学电子与通信工程学院,广东深圳 518107

跨层建模 随机接入 数据传输 性能分析 离散时间排队论

2024

无线电通信技术
中国电子科技集团公司第五十四研究所

无线电通信技术

北大核心
影响因子:0.745
ISSN:1003-3114
年,卷(期):2024.50(4)