Fronthaul-constrained resource allocation for downlink cached C-RAN

The cloud radio access network (C-RAN), which is a novel technology in 5G wireless architecture, has been recently proposed. Resource allocation can utilize resources more efficiently, which generates a lot of researches in C-RAN architecture. In this paper, we deeply investigate the resource allocation in C-RAN with fronthaul capacity constraints, the concept of deploying cache on RRHs in the traditional resource allocation problem is introduced. Then a combination of the caching scheme to allocate different RRHs to different mobile users and resource allocation iterative algorithm by the Lagrange dual decomposition method is proposed to alleviate the traffic pressure of the fronthaul and maximize the resources utilization for users simultaneously. Furthermore, different caching schemes and different number of users are taken into consideration. Simulation results verify the rationality of the proposed caching scheme and algorithm in C-RAN architecture.