Research Article
Game Theoretic Analysis of Joint Channel Selection and Power Allocation in Cognitive radio Networks
@INPROCEEDINGS{10.1109/CROWNCOM.2008.4562549, author={Hao He and Jie Chen and Shoufeng Deng and Shaoqian Li}, title={Game Theoretic Analysis of Joint Channel Selection and Power Allocation in Cognitive radio Networks}, proceedings={3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2008}, month={7}, keywords={}, doi={10.1109/CROWNCOM.2008.4562549} }- Hao He
Jie Chen
Shoufeng Deng
Shaoqian Li
Year: 2008
Game Theoretic Analysis of Joint Channel Selection and Power Allocation in Cognitive radio Networks
CROWNCOM
IEEE
DOI: 10.1109/CROWNCOM.2008.4562549
Abstract
In this work, we formulate the potential game model of joint channel selection and power allocation. First, under the interference constraint, a nonlinear optimization problem is formulated for improving the total throughput and considering the fairness in cognitive radio network. we also define the special objective function for each transmitting node and formulate a potential game to solve this problem distributively. The Nash equilibria of this potential game is investigated. It is shown that the distributed sequential play converges to a Nash equilibrium point and quickly satisfy the interference constraint. Finally, through simulations, the performances are examined and we further investigate the relationship between the parameters of the objective function and the performances of the whole cognitive radio network.
