Potential game theory-based resource allocation algorithm of high-density D2D users

作者：Lan Bing; Li Bing Bing; Liu Jia; Chang Jun Ren

来源：Journal of South China University of Technology(Natural Science Edition), 2015, 43(1): 41-46 and 52.

DOI：10.3969/j.issn.1000-565X.2015.01.007

• Device-to-device user
• Interference reduction
• Multiple devices
• Potential function
• Resource allocation algorithms
• Simulated results
• System throughput
• Utility functions

In order to solve the contesting among multiple device-to-device (D2D) users reusing the resource of one cellular user in high-density user scenarios, a D2D resource allocation algorithm on the basis of game theory is proposed. Firstly, a utility function minimizing the system interference is proposed, which considers both the interference among D2D users and the interference between D2D users and cellular users. Secondly, a potential function of this game is designed. Then, the potential game nature of utility function as well as the existence of Nash equilibrium is proved. Simulated results show that the proposed algorithm possesses better system level fairness and convergence, improves system throughput, and reduces the interference to D2D users.

• 出版日期2015-1-1
• 单位西安电子科技大学