Stochastic-MEC

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Joint Task Offloading and Radio Resource Management in Stochastic MEC Systems, IEEE Transactions on Communications, 2024

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# 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](https://ieeexplore.ieee.org/document/10401241)

## MATLAB code  
- [Demonstration of the Comparison Between Proposed Algorithms and the Exhaustive Search Algorithm](https://github.com/trinhudo/Stochastic-MEC/blob/main/main_full_demo.pdf)
- Full code and results: [https://github.com/hieuhoanghust/MEC_WOA](https://github.com/hieuhoanghust/MEC_WOA)

Stochastic-MEC

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