Resource management for ensuring deterministic latency in industrial 5G heterogeneous networks
WEI Zehao
XU Shaoyi
Abstract：The Industrial Internet of Things(IIoT)has been widely adopted in the intelligent transforma-tion of factories due to its flexibility and cost-effectiveness.To ensure delay determinacy for Time-Sensitive(TS)services and high throughput for Real-Time(RT)services in industrial 5th Generation Mobile Commu-nication(5G)heterogeneous networks,this study investigates wireless resource allocation methods for indus-trial 5G heterogeneous networks.First,a downlink transmission scenario for 5G heterogeneous network with coexisting TS and RT services is constructed,and a variable blocklength transmission scheme based on finite blocklength theory is designed.Then,an optimization problem is established to ensure the deterministic delay of TS services and high throughput of RT services.Finally,to solve the Mixed Integer Nonlinear Program-ming(MINLP)problem,it is decoupled into three sub-problems:channel allocation,power allocation,and transmission delay design.An algorithm based on Alternative Optimization(AO)is proposed to obtain a suboptimal solution to the original problem.Research results indicate that compared to the 5G New Radio(NR)scheme,the variable blocklength transmission scheme improves the transmission sum-rate of RT devices by about 13%through more flexible resource allocation,while ensuring the delay determinacy of TS services.
Keywords：industrial 5G heterogeneous networksdelay determinacyfinite blocklengthvariable blocklengthresource allocation
Publication Date：2025-12-30
Online Publishing Date：2026-02-02(First online date of this platform, not the publication date of the document)
Pages：10( 183-192 )