Decentralized Computation Offloading Game For Mobile Cloud Computing
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Abstract (arXiv)
Mobile cloud computing is envisioned as a promising approach to augment computation capabilities of mobile devices for emerging resource-hungry mobile applications. In this paper, we propose a game theoretic approach for achieving efficient computation offloading for mobile cloud computing. We formulate the decentralized computation offloading decision making problem among mobile device users as a decentralized computation offloading game. We analyze the structural property of the game and show that the game always admits a Nash equilibrium. We then design a decentralized computation offloading mechanism that can achieve a Nash equilibrium of the game and quantify its efficiency ratio over the centralized optimal solution. Numerical results demonstrate that the proposed mechanism can achieve efficient computation offloading performance and scale well as the system size increases.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Apr 2014.
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Citing papers per year: 2022: 5; 2023: 1; 2024: 1.
7 papers.
- 2022Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse over Wireless Communicationscited by 9
- 2024GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networkscited by 6
- 2022Multi-Agent Distributed Reinforcement Learning for Making Decentralized Offloading Decisionscited by 4
- 2022Digital Twin-Empowered Network Planning for Multi-Tier Computingcited by 4
- 2023Adaptive DNN Surgery for Selfish Inference Acceleration with On-demand Edge Resourcecited by 2
- 2022Multi-Agent Reinforcement Learning for Long-Term Network Resource Allocation through Auction: a V2X Applicationcited by 0
- 2022Beyond 5G Networks: Integration of Communication, Computing, Caching, and Controlcited by 0
- 2024GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networks11 Dec 2024
- 2023Adaptive DNN Surgery for Selfish Inference Acceleration with On-demand Edge Resource21 Jun 2023
- 2022Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse over Wireless Communications30 Dec 2022
- 2022Beyond 5G Networks: Integration of Communication, Computing, Caching, and Control26 Dec 2022
- 2022Digital Twin-Empowered Network Planning for Multi-Tier Computing6 Oct 2022
- 2022Multi-Agent Reinforcement Learning for Long-Term Network Resource Allocation through Auction: a V2X Application29 Jul 2022
- 2022Multi-Agent Distributed Reinforcement Learning for Making Decentralized Offloading Decisions5 Apr 2022