Research On URLLC Service Resource Scheduling Algorithm In 5G Hybrid Service Scenario

With the development of the times,5G networks face a variety of business requirements and complex application scenarios that are constantly changing.The International Organization for Standardization 3GPP has identified three major application scenarios for 5G mobile communication systems: Enhanced Mobile Broadband(e MBB),Ultra-Reliable Low-Latency Communication(u RLLC)and Massive Machine Type Communication(m MTC).The u RLLC service is a service that transmits data with ultra-low delay and ultra-high reliability,while the e MBB service has clear requirements for data transmission rate and throughput.In the case of limited physical wireless resources and network resources,how to ensure the quality of service(Qo S)of each service in the mixed scenario of u RLLC service and e MBB service has become one of the core issues of resource scheduling and allocation in multi-service scenarios of 5G mobile communication systems.Resources are divided into physical resources and network resources,and the u RLLC service resource scheduling algorithm is innovated and optimized from the perspective of transmission and forwarding.From the transmission level,a multi-proportion dynamic resource reservation and preemption mechanism with coexistence of burst service and random service is proposed to solve the problem of limited spectrum resources and competition between services when u RLLC and e MBB are multiplexed.On the basis of guaranteeing the ultra-low air interface delay and ultra-high reliability requirements of various u RLLC services,the performance indicators of e MBB services are improved as much as possible.Based on the theoretical analysis of random network,the dynamic reservation threshold and resource preemption threshold of u RLLC resources are optimally set.Simulation analysis shows that the proposed method effectively reduces the throughput and delay performance deterioration of e MBB services caused by multiplexing on the basis of ensuring the Qo S of multiple services of u RLLC.When the arrival rate of u RLLC data is low,the throughput deterioration ratio is reduced from 5% to 2.3% compared with the traditional resource reservation strategy.When the arrival rate is high,the deterioration degree is also reduced by 0% to 4% compared with the resource preemption strategy.In the forwarding layer,a time-sensitive network(TSN)is used to design an SPC queue resource scheduling algorithm suitable for 5G services.It optimizes all aspects of queuing、scheduling and dequeuing,and uses network calculus to deduce the end-to-end time of u RLLC.The network simulation software OMNe T++ is used to establish a simulation platform,and the proposed scheduling algorithm is simulated to obtain the end-to-end delay of u RLLC.The simulation results show that the proposed algorithm can schedule u RLLC services preferentially,and when there are multiple u RLLC services,the Qo S needs to be scheduled on demand,which ensures ultra-low end-to-end delay and low delay jitter of u RLLC services.