Cooperative Computation Offloading and Resource Allocation for Mobile Edge Computing

With the development of wireless technologies, each smart mobile terminal (SMT) can offload computation task to mobile edge computing (MEC) server via multiple wireless access points (APs). To drop the computation offloading cost of SMT with connected multiple wireless APs, this paper investigates computation offloading problem of SMTs in a multiple wireless APs system which aims to minimize the system cost by jointly optimizing the offloading strategy, bandwidth and computation resource allocation. We then propose a game theoretic computation offloading and resource allocation (GCRA) scheme to solve this optimization problem, which decomposes the offloading problem into two the subproblems (resource allocation and offloading decisions). Our analysis and simulation results verify the convergence performance of the proposed scheme, and the proposed scheme can effectively decrease the system cost compared with the existing schemes.