Serial interference cancellation power control algorithm based on non-cooperative game theory

This paper studies game-based power control of cognitive radio networks based on spectrum sharing. First, a power control algorithm of Stackelberg game with nonlinear link cost function is proposed to improve the fairness of the system and reduce the transmission power of secondary users as much as possible. For cognitive radio, multi-user detection can be used to further reduce interference between users. By adopting serial cancellation multi-user detection technology, that is, selecting a certain interference cancellation sequence for each CU to control the transmission of secondary users Power, because it is relatively easy to implement, can be applied to cognitive networks through this technology to improve system performance. The serial interference cancellation technology is introduced on the basis of the algorithm to reduce the transmission power. The results show that the new algorithm can obtain higher practical value and reduce the transmission power compared with other classic power control algorithms.