Downlink Sum-Rate Optimization Leveraging Hungarian Method in Fog Radio Access Networks

With the expected rigorous requirements of 5G era (e.g, throughput, serviceability, and latency), the fog radio access networks (F-RANs) emerge as a promising paradigm for 5G wireless communication system. F-RANs provide impressive performance in terms of their high data rate, ultra-low latency and user experience continuity for highly localized services in close proximity to user equipments (UEs). In F-RANs, UEs are mostly allocated resource by preferred remote radio heads (RRHs) which have the best signal-to-interference-plus-noise ratio (SINR). This circumstance leads these RRHs to suffer an overload issue and decreases the entire network throughput. To cope with these problems, we propose a downlink sum-rate optimization (DSRO) scheme, which utilizes the Hungarian method and greedy algorithm combination to balance the resource allocation scheduling among RRHs in order to achieve an optimal downlink sum-rate. The experimental results demonstrate the performance of the DSRO scheme in terms of throughput as well as serviceability.