5G RAN Slicing Resource Allocation Based on PF/M-LWDF

The rapid development of 5G communication technology has led to the emergence of business scenarios such as cloud performing art. In the cloud performing art scenario, there are problems such as restricted spectrum and computation resources in the frequency domain during video competition access and differences in transmission and computation requirements between the coexisting enhanced mobile broadband (eMBB) and the ultra-reliable low-latency communications (uRLLC) services. Based on this, exploring the slicing resource scheduling strategy adapted to multi-service scenarios on the 5G RAN side is crucial to effectively improving resource utilization efficiency and network coverage capability. In this paper, a priority scheduling algorithm based on the puncture decision is proposed for the slice resource allocation problem in multi-service coexistence scenarios, such as eMBB and uRLLC, to alleviate the quality of service (QoS) loss caused by the limited competition of spectrum resources. A proposed two-tier resource scheduling algorithm based on proportional fairness (PF), modified-largest weighted delay first (M-LWDF) with heuristic algorithms, and a slice scheduling model accurately adapted to eMBB service types. Simulation results show that the algorithms proposed in this paper can efficiently satisfy the latency requirements of eMBB real-time services and, at the same time, achieve a better fairness guarantee.