Cloud-RAN Resource Scheduling based on real traffic model
Résumé
Cloud-Radio Access Network is a promising mobile network architecture that centralizes the computing resources in the Baseband Unit pool which adds more flexibility and increases network performance. However, as computing resources are shared among the Radio Remote Heads (RRH) connected to the Baseband Unit pool, efficient scheduling algorithms should be explored to meet the deadlines requirements of RRHs' subframes and to increase the network throughput. In this paper, we propose optimal scheduling algorithms for computing resources along with three heuristics. We test the different algorithms as a function of three metrics. The evaluation is performed under a real traffic model and the results highlight the importance of choosing the appropriate scheduling algorithm to increase network performance.
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