Joint Cooperative Computation and Interactive Communication for Relay-Assisted Mobile Edge Computing

This paper considers a computational results sharing (CRS) system where user A wants to share its computational results with user B with the aid of a relay equipped with an mobile edge computing (MEC) server. The performance of the CRS systems can be greatly impacted by the relay forward protocol and resources allocation. To realize cooperative computation and communication in a relay aided mobile edge computing system, we develop a hybrid relay forward protocol and properly allocate the system computational and communication resources, where we seek to balance the execution delay and network energy consumption. The problem is formulated as a nondifferentialbe optimization problem which is nonconvex with highly coupled constraints. By exploiting the problem structure, we propose a lightweight algorithm based on inexact block coordinate descent method. Our results show that the proposed algorithm exhibits much faster convergence as compared with the popular concave convex procedure based algorithm, while achieving good performance.