A Comprehensive Survey of Potential Game Approaches to Wireless Networks

Abstract

Potential games form a class of non-cooperative games where unilateral improvement dynamics are guaranteed to converge in many practical cases. The potential game approach has been applied to a wide range of wireless network problems, particularly to a variety of channel assignment problems. In this paper, the properties of potential games are introduced, and games in wireless networks that have been proven to be potential games are comprehensively discussed.

44 pages, 6 figures, to appear in IEICE Transactions on Communications, vol. E98-B, no. 9, Sept. 2015

References in corpus (7)

• Decentralized Computation Offloading Game For Mobile Cloud Computing
• Joint Channel Selection and Power Control in Infrastructureless Wireless Networks: A Multi-Player Multi-Armed Bandit Framework
• Database-assisted Spectrum Access in Dynamic Networks: A Distributed Learning Solution
• Distributed resource allocation in cognitive radio networks with a game learning approach to improve aggregate system capacity
• Joint Access Point Selection and Power Allocation for Uplink Wireless Networks
• Game theoretic approach for end-to-end resource allocation in multihop cognitive radio networks
• Distributed Spectrum Access for Cognitive Small Cell Networks: A Robust Graphical Game Approach

Cited by in corpus (5)

• Potential Game-Based Decision-Making for Autonomous Driving
• Dynamic Partial Computation Offloading for the Metaverse in In-Network Computing
• Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems
• Generalized potential games
• Network Resource Sharing Games with Instantaneous Reciprocity