NDLI: Adaptive power control algorithm in cognitive radio based on game theory

Content Provider	IET Digital Library
Author	Yang, Guanglong Li, Bin Tan, Xuezhi Wang, Xiao
Abstract	Cognitive radio (CR) has achieved increasing attention to improve the spectrum utilisation by allowing the coexistence of primary users (PUs) and cognitive users (CUs) in the same frequency band. As the spectrum of interest is licenced to primary network, power control must be carried out within the CR system so that no excessive interference is caused to PUs. In this study, the problem of power control is investigated in CR systems based on game theory subject to interference power constraint at PU and the signal-to-interference-plus-noise ratio (SINR) constraint of each CU. The objective is to reduce the power consumption caused by some CUs’ SINR over the target value. First, a non-cooperation power control game is formulated, and then an adaptive power control algorithm based on feedback function is proposed. Moreover, the existence and uniqueness of Nash equilibrium are proved. Simulation results show that, compared with other distributed algorithms, the proposed algorithm can reduce the power consumption and overcome the near-far effect.
Starting Page	1807
Ending Page	1811
Page Count	5
ISSN	17518628
Volume Number	9
e-ISSN	17518636
Issue Number	Issue 15, Oct (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/9/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2014.1109
Journal	IET Communications
Publisher Date	2015-09-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Control Adaptive Power Control Algorithm Cognitive Radio Cognitive User Control Application in Radio And Radar CR System Feedback Feedback Function Game Theory Nash Equilibrium Noncooperation Power Control Game Power And Energy Control Power Consumption Power Control Primary User Radio Link And Equipment Self Adjusting Control System Signal-to-interference-plus-noise Ratio SINR Constraint Spectrum Utilisation Telecommunication Control
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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