Placement, Routing and Scheduling Optimizations in Cloud-RAN
Hatem Ibn-Khedher, Makhlouf Hadji, Ahmed E. Kamal · 2021 IEEE Global Communications Conference (GLOBECOM) · 2021
The density increasing in Radio Access Networks (RAN) caused the migration of traditional base stations to the cloud to meet huge traffic of end-users' demands. In this context, virtualization techniques can add more flexibility and programmability to scale in/out virtual storage, network and computing resources. However, Cloud-RAN (C-RAN) requires real-time processing and scheduling of its demands represented as service chains. In this paper, we formulate the joint assignment and scheduling problem in C-RAN using linear programming approach. Placement and scheduling algorithms allowing to allocate efficiently computing resources for C-RAN Virtual Network Functions (VNFs) with respect to the RAN services chaining are introduced and their behavior is quantified through real traces. We illustrate and highlight the feasibility and efficiency of our proposed algorithms through different scenarios in various considered network instances. Metrics such as cpu cores occupancy, network throughput, and successful subframe decoding rate are used to illustrate our algorithms' efficiency.