# Joint Optimization of Cooperative Communication and Computation in Two-Way Relay MEC Systems

## TL;DR

This paper proposes a joint optimization framework for cooperative communication and computation in two-way relay MEC systems, minimizing energy consumption under delay constraints, with a low-complexity solution derived through theoretical analysis.

## Contribution

It introduces a novel joint optimization approach for communication and computation in two-way relay MEC systems, providing a low-complexity optimal solution.

## Key findings

- Proposed scheme reduces energy consumption compared to baseline methods.
- Optimal task partitioning is achieved through a one-dimensional search.
- Simulation confirms improved performance over all-task allocation strategies.

## Abstract

Considering two users exchange computational results through a two-way relay equipped with a mobile-edge computing server, we investigate the joint optimization problem of cooperative communication and computation, whose objective is the total energy consumption minimization subject to the delay constraint. To derive the low-complexity optimal solution, by assuming that the transmit power of the relay is given, we theoretically derive the optimal values of computation task partition factors. Thus, the optimal solution to the total energy consumption minimization problem can be found by one-dimensional search over the transmit power of the relay. Simulation results show that our proposed scheme performs better than that where all computational tasks are allocated to the relay or users.