dRG-MEC: Decentralized Reinforced Green Offloading for MEC-enabled Cloud Network

Asad Aftab, Semeen Rehman
1/10/2024
cs.NIcs.AIeess.SP

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Abstract

Multi-access-Mobile Edge Computing (MEC) is a promising solution for computationally demanding rigorous applications, that can meet 6G network service requirements. However, edge servers incur high computation costs during task processing. In this paper, we proposed a technique to minimize the total computation and communication overhead for optimal resource utilization with joint computational offloading that enables a green environment. Our optimization problem is NP-hard; thus, we proposed a decentralized Reinforcement Learning (dRL) approach where we eliminate the problem of dimensionality and over-estimation of the value functions. Compared to baseline schemes our technique achieves a 37.03% reduction in total system costs.

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Cite this paper

@article{aftab2024drgmec,
  title  = {dRG-MEC: Decentralized Reinforced Green Offloading for MEC-enabled Cloud Network},
  author = {Asad Aftab and Semeen Rehman},
  year   = {2024},
  eprint = {2402.00874},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2402.00874v1}
}

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