Multi-Dimensional Resource Allocation Algorithm for End-to-End Network Slicing

With the rapid development of 5G networks, emerging mobile system is expected to serve a large number users with differentiated performance requirements. Different application scenarios have resource and quality service To optimize allocation network multidimensional resources, an algorithm maximize multi-dimensional utilization proposed for optimization problem Enhanced Mobile Broadband (eMBB) Ultra-Reliable Low Latency Communication (URLLC) slices. The combines communication, computing storage resources provide solution allocation. And it able guarantee high speed demand in eMBB slices low latency URLLC multiservice slicing modelled as non-linear mixed integer programming problem. Combining augmented Lagrange branch-and-bound method solve problem, optimal strategy obtained. It demonstrated that can improve throughput, increase utilization, rate class services reduce delay compared other algorithms.