A Game-Theoretic Analysis of Joint Mobile Edge Caching and Peer Content Sharing

Author:

Jiang Changkun1ORCID,Gao Lin2ORCID,Luo Jingjing2ORCID,Zhou Pan3ORCID,Li Jianqiang1ORCID

Affiliation:

1. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

2. School of Electronics and Information Engineering, Harbin Institute of Technology, Shenzhen, China

3. Hubei Key Laboratory of Distributed System Security, Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Shenzhen Science and Technology Program

Natural Science Foundation of Guangdong Province -Outstanding Youth Program

Basic and Applied Basic Research Foundation of Guangdong Province

Shenzhen Institute of Artificial Intelligence and Robotics for Society

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

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1. Revenue-Optimal Contract Design for Content Providers in IoT-Edge Caching;IEEE Internet of Things Journal;2024-07-01

2. Multi-UAV Cooperative Search in Multi-Layered Aerial Computing Networks: A Multi-Agent Deep Reinforcement Learning Approach;ICC 2024 - IEEE International Conference on Communications;2024-06-09

3. Joint Mobile Edge Caching and Pricing: A Mean-Field Game Approach;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

4. Enabling In-Network Caching in Traditional IP Networks: Selective Router Upgrades and Cooperative Cache Strategies;IEEE Transactions on Network Science and Engineering;2024-01

5. Optimizing Client and Data Selection in Federated Learning: A Centralized Optimization and Decentralized Game-Theoretic Approach;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04

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