Research and experiment on multi-user computational offloading based on mobile edge computing

The fundamental problem of multi-user computation offloading for Mobile Edge Computing is investigated in heterogeneous overlay networks where each user can connect and offload its computing workloads to multiple heterogeneous wireless access points in parallel. The problem of average user overhead minimization with the delay constraint is formulated to obtain the optimal strategy of workload partition and heterogeneous resource allocation. A successive convex approximation (SCA) based algorithm is finally developed, which addresses the problem of non-convex optimization by iteratively solving a sequence of separable strongly convex problems. Numerical results are presented to prove that the proposed offloading mechanism can effectively reduce the service latency and energy consumption of users compared with the conventional non-cooperative approach.