Delay-aware content distribution via cell clustering and content placement for multiple tenants

Abstract The introduction of 5G will see exponential growth in the amount of data generated in mobile networks. This huge growth in data volume will put great pressure on not only the wireless access network but also the backhaul. In-network caching as a key component of 5G targets faster download speeds and reduction in latency through efficient content placement to avoid contents being transmitted repeatedly. In addition, the reduction in latency will require an effective resource allocation scheme to improve radio resource utilization. This paper investigates the problem of delay-aware content distribution in a multi-tenant network. We propose a content placement scheme to minimize the average visiting time of all users and a novel heuristic graph-partitioning algorithm via cell clustering to maximize the user transmission rates. Finally, simulations are conducted to evaluate the proposed scheme with QoE satisfaction and resource utilization for multi-tenants.