Abstract: Mobile edge computing (MEC) has become one of the emerging research topics of future mobile network. In the fog radio access network based on network slicing,a network slicing-oriented communication,computation and caching (3C) joint resource allocation algorithm is proposed for MEC systems. A network slicing-oriented resource allocation model with multi-MEC cooperation is given. In this model,the limitations of wireless and backhaul bandwidth and the influence of MEC computation and caching resource allocation on service delay of network slicing are considered. The utility value of resources obtained by the user is defined by the service delay. A system utility maximization problem is proposed,which takes user association in different slices,computation and cache resources allocation as optimization variables. An iterative algorithm based on successive convex approximation is adopted to acquire approximate optimal solution. The performance of the proposed algorithm is verified by simulation. The results show that the proposed algorithm can optimize the total utility value of the system and improve the resource utilization efficiency of the network slicing-oriented MEC system.

Key words: network slicing, mobile edge computing, successive convex approximation, joint allocation of resources