# Computation Offloading and Resource Allocation for Backhaul Limited Cooperative MEC Systems

## TL;DR

This paper presents a joint optimization framework for computation offloading and resource allocation in backhaul limited cooperative MEC systems, achieving significant energy savings and latency improvements.

## Contribution

It introduces a convexification approach to solve a complex non-convex optimization problem for cooperative MEC systems with partial offloading and TDMA.

## Key findings

- Proposed algorithm outperforms conventional non-cooperative methods.
- Significant energy consumption reduction demonstrated.
- Enhanced latency performance in cooperative MEC scenarios.

## Abstract

In this paper, we jointly optimize computation offloading and resource allocation to minimize the weighted sum of energy consumption of all mobile users in a backhaul limited cooperative MEC system with multiple fog servers. Considering the partial offloading strategy and TDMA transmission at each base station, the underlying optimization problem with constraints on maximum task latency and limited computation resource at mobile users and fog servers is non-convex. We propose to convexify the problem exploiting the relationship among some optimization variables from which an optimal algorithm is proposed to solve the resulting problem. We then present numerical results to demonstrate the significant gains of our proposed design compared to conventional designs without exploiting cooperation among fog servers and a greedy algorithm.