Latency-Aware Offloading for Mobile Edge Computing Networks

To minimize the average latency of users to complete tasks, this letter jointly optimizes offloading decision, computation and bandwidth resource allocation for Mobile Edge Computing (MEC) networks via partial offloading. Since the considered problem is strongly non-convex with coupled variables, we decompose the original problem into two subproblems: (1) offloading decision; (2) communication bandwidth and computation resources allocation, and further employ Block Coordinate Descent (BCD) method to tackle them sequentially with linear computation complexity. Simulation results demonstrate that the proposed algorithm can achieve better performance on the average latency, and converge speedily.

Automated summary

This paper optimizes offloading decision, computation, and bandwidth allocation in MEC networks through partial offloading to minimize average user latency. By decomposing the non-convex problem into subproblems and using the BCD method, the algorithm achieves better performance and fast convergence in terms of average latency.