A Comprehensive Survey of Potential Game Approaches to Wireless Networks
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 26 Jun 2015.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2023: 2; 2024: 4; 2025: 1.
7 papers.
- 2023Provably Learning Nash Policies in Constrained Markov Potential Gamescited by 7
- 2024Gradient-based Learning in State-based Potential Games for Self-Learning Production Systemscited by 3
- 2024Self-optimization in distributed manufacturing systems using Modular State-based Stackelberg Gamescited by 3
- 2023Dynamic Partial Computation Offloading for the Metaverse in In-Network Computingcited by 1
- 2024Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systemscited by 1
- 2024Transfer learning of state-based potential games for process optimization in decentralized manufacturing systemscited by 0
- 2025Real Time Self-Tuning Adaptive Controllers on Temperature Control Loops using Event-based Game Theorycited by 0
- 2025Real Time Self-Tuning Adaptive Controllers on Temperature Control Loops using Event-based Game Theory16 Jun 2025
- 2024Self-optimization in distributed manufacturing systems using Modular State-based Stackelberg Games30 Oct 2024
- 2024Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems12 Aug 2024
- 2024Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems12 Aug 2024
- 2024Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems14 Jun 2024
- 2023Provably Learning Nash Policies in Constrained Markov Potential Games13 Jun 2023
- 2023Dynamic Partial Computation Offloading for the Metaverse in In-Network Computing9 Jun 2023