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