Dynamic Resource Scheduling Method Based on Risk Sensitivity in 5G Scenarios
Addressing the resource slicing problem in the dynamic reuse scenario of ultra reliable low latency communication(uRLLC)and enhanced mobile broadband(eMBB),the eMBB service focuses on high data rates,while uRLLC has strict requirements in terms of latency and reliability.Therefore,the resource slicing problem is formulated as a joint resource allocation optimization problem for eMBB/uRLLC,with the aim of considering the variance of eMBB data rates to reduce the impact of immediately scheduled uRLLC traffic on eMBB reliability.A risk-sensitive formula is proposed to allocate resources for incoming uRLLC traffic while maximizing the reduction of risk in eMBB transmis-sion to ensure the reliability of uRLLC transmission.The optimization problem is decomposed into three sub-problems,and the non-convex sub-problems are transformed into convex optimization problems to obtain an approximate solution for resource allocation.Simulation results show that the proposed transmission scheme ensures the transmission reliability of both eMBB and uRLLC services while allocating resources for incoming uRLLC traffic.
万方数据
维普
