A power control algorithm based on game theory in cognitive radio

被引：1

作者：

Bai, Xiaojuan ^{[1
]}

Jin, Zhijie ^{[1
]}

Cao, Panpan ^{[1
]}

机构：

[1] Northwest Normal Univ, Coll Phys & Elect Engn, Lanzhou, Peoples R China

来源：

2022 INTERNATIONAL CONFERENCE ON BIG DATA, INFORMATION AND COMPUTER NETWORK (BDICN 2022) | 2022年

关键词：

power control; cognitive network; game theory; spectrum sharing;

D O I：

10.1109/BDICN55575.2022.00012

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Power control algorithm can reduce the interference of secondary users to primary users to improve the system performance of cognitive networks. This paper uses non- cooperative game theory to model the power control problem in cognitive networks and proposes a new power control algorithm based on game theory, then the uniqueness and existence of the Nash equilibrium solution is proved. Finally, the algorithm proposed in this paper is compared with two classical algorithms in terms of average transmit power, average SINR, and convergence. The software simulation shows that the algorithm proposed is more effective on the condition of low transmit power and good SINR. Besides the fairness of spectrum sharing is improved.

引用

页码：22 / 26

页数：5

共 14 条

[1]

Bai XJ, 2020, 2020 5TH INTERNATIONAL CONFERENCE ON COMMUNICATION, IMAGE AND SIGNAL PROCESSING (CCISP 2020), P164, DOI [10.1109/ccisp51026.2020.9273511, 10.1109/CCISP51026.2020.9273511]

[2]

Cheng Shilun, 2007, J COMMUNICATIONS, P100

[3] A Nash game algorithm for SIR-based power control in 3G wireless CDMA networks [J].

Koskie, S ;

Gajic, Z .

IEEE-ACM TRANSACTIONS ON NETWORKING, 2005, 13 (05) :1017-1026

[4] A New Game Algorithm for Power Control in Cognitive Radio Networks [J].

Li, Feng ;

Tan, Xuezhi ;

Wang, Li .

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2011, 60 (09) :4384-4391

[5]

Li Hong-yan, 2008, Journal of Beijing University of Posts and Telecommunications, V31, P112

[6]

Qiao J., 2012, J CHINA U POSTS TELE, V19, P47, DOI DOI 10.1016/S1005-8885(11)60445-7

[7] Distributed Cross-Layer Optimization for Cognitive Radio Networks [J].

Shi, Yi ;

Hou, Y. Thomas ;

Zhou, Huaibei ;

Midkiff, Scott F. .

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2010, 59 (08) :4058-4069

[8]

Tian Shen, 2011, 2011 International Conference on Computer Science and Service System (CSSS), P2408

[9]

Wang Jianxia, 2019, RES POWER CONTROL AL, DOI 10.27147/d.cnki.ghdju.2019.000340

[10] Adaptive power control algorithm in cognitive radio based on game theory [J].

Yang, Guanglong ;

Li, Bin ;

Tan, Xuezhi ;

Wang, Xiao .

IET COMMUNICATIONS, 2015, 9 (15) :1807-1811

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