Hypergraph Based Radio Resource Management in 5G Fog Cell

5G is a hot topic of current research in the field of wireless communication, micro base stations will be widely deployed in large quantities. The traditional cloud computing paradigm is unable to effectively solve the problem of 5G resource management, such as limited system capacity and low utilization rate of resource management. As a new paradigm, fog computing has the characteristics of low delay and geo-distribution. It can enable the resource management of 5G. Fog nodes are cooperative and geo-distribution. In order to improve the capacity of the system and the utilization of resources, we need to allocate fog nodes for each task. To address this issue, we propose a concept of 5G fog Cell network architecture that can be implemented by Macro-eNB and fog node. In this model, we use Hypergraph theory to establish a task model, and we design a Hypergraph clustering algorithm to manage and allocate radio resource. Simulations demonstrate that the 5G fog Cell network performs better than traditional macro cell network in radio resource utilization.