The Research of Dynamic Spectrum Allocation Based on Nash Bargaining Game
Peijun Li, Bo Han, Heng Li, Dayou Hou, Dongdong Liu, Wang Guangyang · 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC) · 2018
At present, most of the literatures on the spectrum allocation of game theory are based on non-cooperative game models, where secondary users' (SUs) goals are to maximize the benefits they gain in the game, regardless of the impact of their strategies on other SUs. In this paper, an improved dynamic spectrum allocation model based on Nash bargaining in cooperative game is proposed, whose goal is to optimize the total revenue of all SUs in the network. Simulations show that under Nash bargaining, the quality of service (QoS) that is the minimum rate request for each SU is guaranteed, the total revenue of SUs is higher than that of non-cooperative game, and the system is more fair than non-cooperative game.