Joint Computation Offloading and Interference Management in Wireless Cellular Networks with Mobile Edge Computing

TLDR

Mobile edge computing enhances mobile device capabilities, but computation offloading remains a critical challenge. The study introduces an integrated framework that jointly addresses computation offloading and interference management in wireless cellular networks with MEC. The framework formulates optimization problems for offloading decisions, physical resource block allocation, and MEC resource distribution, using overhead estimates and graph‑coloring for PRB assignment before allocating computation resources to users. Simulations demonstrate that the proposed scheme improves performance across various system configurations.

Abstract

Mobile edge computing (MEC) has attracted great interests as a promising approach to augment computational capabilities of mobile devices. An important issue in the MEC paradigm is computation offloading. In this paper, we propose an integrated framework for computation offloading and interference management in wireless cellular networks with MEC. In this integrated framework, we formulate the computation offloading decision, physical resource block (PRB) allocation, and MEC computation resource allocation as optimization problems. The MEC server makes the offloading decision according to the local computation overhead estimated by all user equipments (UEs) and the offloading overhead estimated by the MEC server itself. Then, the MEC server performs the PRB allocation using the graph coloring method. The outcomes of the offloading decision and PRB allocation are then used to distribute the computation resource of the MEC server to the UEs. Simulation results are presented to show the effectiveness of the proposed scheme with different system parameters.