JOURNAL ARTICLE

Power control game based on new pricing function for cognitive radio

Abstract

Game theory has been applied to cognitive radio to control transmit power in recent years. Various non-cooperative power control games have been presented to maximize the utility of users. Based on the game proposed by Goodman et al., a pricing function related to the radio of signal to interference is presented in this paper, which generates different revenue for different CR users to guarantee the equity so that CR users may get higher utility. The existence and uniqueness of Nash equilibrium is proved for the proposed algorithm. The simulation results show that the algorithm can reduce the users' transmit power and improve its utility in comparison with the power control algorithm via pricing based on power.

Keywords:
Nash equilibrium Game theory Cognitive radio Power control Computer science Transmitter power output Revenue Mathematical optimization Control (management) Power (physics) Uniqueness Interference (communication) Transmitter Computer network Telecommunications Mathematical economics Mathematics Economics Finance Artificial intelligence

Metrics

4
Cited By
0.73
FWCI (Field Weighted Citation Impact)
10
Refs
0.73
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
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