National Natural Science Foundation of China (No.61102062, No.61271260);Natural Science Fund of Chongqing Municipal Science and Technology Commission (No.cstc2015jcyjA40050)
ZHU Jiang, ZHANG Yu-ping. A Game-Theoretic Power Control Mechanism Based on Hidden Markov in Imperfect Information Environment[J]. Acta Electronica Sinica, 2016, 44(12): 3004-3010.
DOI:
ZHU Jiang, ZHANG Yu-ping. A Game-Theoretic Power Control Mechanism Based on Hidden Markov in Imperfect Information Environment[J]. Acta Electronica Sinica, 2016, 44(12): 3004-3010. DOI: 10.3969/j.issn.0372-2112.2016.12.027.
A Game-Theoretic Power Control Mechanism Based on Hidden Markov in Imperfect Information Environment
To solve the distributed power control issues in cognitive radio networks under imperfect information environment
according to the difference and independence of channel detecting results of different unlicensed users
a game-theoretic power control mechanism based on hidden Markov model (HMM) is proposed.By the HMM mode
unlicensed user can estimate whether competitors would take part in the game
which improves the information accuracy of game and allows the unlicensed users to choose an optimal transmission power.Simulation results indicate that the game-theoretic power control mechanism based on HMM can not only improve the power efficiency but also meet the target capacity compared with other cases.