An Efficient Resource Management Scheme for Fog Radio Access Networks with Limited Fronthaul Capacity

Abstract

Fog radio access networks (F-RANs) are considered promising paradigms for minimizing the latency and improving the overall throughput of the system. The fronthaul burden can be diminished by utilizing the storage and signal processing capabilities of the F- RANs. To minimize the delay for the delay sensitive applications F-RANs consists of fog access points (FAPs) with local cache memory. However, the shared spectrum is used among the FAPs and limited contents can be stored in the cache memory. Therefore, in F-RAN, limited fronthaul capacity is a major concern to be dealt with. Thus, an efficient and fair scheduling algorithm is required that will schedule the user based on the availability of its requested content in the FAP cache and considering the fronthaul load for the case of fronthaul delivery. Thus, we propose a modified proportional fair scheduling scheme (m-PFS) with fronthaul load minimization for F-RANs. In our proposed scheduling algorithm, the user-carrier mapping is done where the maximized logarithmic sum of user rates is achieved and the load induced on the fronthaul is minimized. Simulation results show significant fronthaul load reduction as compared to the conventional proportional fair scheduling (PFS) scheme.