Proactive Caching Placement Strategy with End-to-end Delay Reduction in C-RAN Using Queuing Theory

Thanks to many techniques brought by 5G, operators are now able to control and avoid congestion in the backhaul networks. For instance, efficient content placement strategy can mitigate the content download delay. Motivated by this hot-topic, we investigate in this paper proactive delay-aware edge caching problem in Cloud Radio Access Network (C-RAN). We introduce a new approach based on Queuing Theory to reduce the average content end-to-end delay in the network. Traffic at the Base Band Unit (BBU) as well as at the Radio Remote Head (RRH) are modeled as M/M/1/ queues. Then, the impact of the arrival rate, cache size and popularity distribution parameter on the average delivery delay is studied. This approach will consequently help set a new strategy of proactive content placement. Simulation results showed that our proposed content placement strategy outperforms common placement strategies.