Joint Task Offloading and Radio Resource Management in Stochastic MEC Systems

Thien Hieu Hoang, Chuyen T. Nguyen, Tri Nhu Do, and Georges Kaddoum
IEEE Transactions on Communications, Jan. 2024

In this paper, we provide:

• Introduction of a new uplink-downlink stochastic mobile edge computing (MEC) system, considering the dynamic characteristics of small cell base stations (SBSs) and user equipments (UEs).
• Development of a radio resource management strategy focusing on user association, channel allocation, and power allocation, incorporating time, energy, and achievable rate into the utility function.
• Identification of the problem as a Mixed Integer Nonlinear Program (MINLP), acknowledged as NP-hard.
• Proposal of a nature-inspired optimization framework to simplify the complexity, adaptable for subproblems in various settings and integrable with Whale Optimization Algorithm (WOA), Improved Whale Optimization Algorithm (IWOA), and Particle Swarm Optimization (PSO).
• Mathematical and numerical analysis showing the proposed algorithms' ability to reach near-optimal solutions with minimal optimality gaps.
• Numerical results highlighting the strengths and weaknesses of the proposed algorithms for resource management in MEC systems, and evaluating the impact of stochastic characteristics on MEC performance.

Paper

• https://ieeexplore.ieee.org/document/10401241

MATLAB code

• Demonstration of the Comparison Between Proposed Algorithms and the Exhaustive Search Algorithm
• Full code and results: https://github.com/hieuhoanghust/MEC_WOA