Shadowing-Price Based CRN Non-Cooperative Game Power Control Algorithm

2014 ◽  
Vol 543-547 ◽  
pp. 2775-2779
Author(s):  
Zhi Yong Li ◽  
Wei Heng Jiang ◽  
Wen Jiang Feng ◽  
Yu Xiang Liao
Keyword(s):  
Power Control ◽  
Cooperative Game ◽  
System Performance ◽  
Control Algorithm ◽  
Optimal System ◽  
Interference Temperature ◽  
Primary Users ◽  
Power Control Algorithm

In this paper, based on the concept of interference temperature and shadowing-price, we proposed a shadowing-price based non-cooperation game power control algorithm. The algorithm can be implemented distributed and obtain the optimal system performance as the centralized power control algorithm, it also maintains the interference to primary users below a certain threshold.

Power control algorithm of cognitive radio based on non-cooperative game theory

2013 ◽  
Vol 10 (11) ◽  
pp. 143-154 ◽  
Author(s):  
Zhao Junhui ◽  
Yang Tao ◽  
Gong Yi ◽  
Wang Jiao ◽  
Fu Lei
Keyword(s):  
Game Theory ◽  
Cognitive Radio ◽  
Power Control ◽  
Cooperative Game ◽  
Control Algorithm ◽  
Cooperative Game Theory ◽  
Power Control Algorithm

scholarly journals A Robust Distributed Power Control Algorithm for Minimum Interference to Primary Users in Underlay Cognitive Radio Networks

2016 ◽  
Vol 12 (12) ◽  
pp. 4
Author(s):  
Lingling Chen ◽  
Xiaohui Zhao ◽  
Shubei Sun ◽  
Yueliang Lu ◽  
Xiaoyue Gong ◽  
...  
Keyword(s):  
Cognitive Radio ◽  
Power Control ◽  
Cognitive Radio Networks ◽  
Control Algorithm ◽  
Radio Networks ◽  
Primary Users ◽  
Distributed Power Control ◽  
Power Control Algorithm ◽  
Underlay Cognitive Radio ◽  
Minimum Interference

<p class="Abstract"><span lang="EN-US">A robust distributed optimal power control (RDPC) scheme under worst case condition is proposed to make primary users (PUs) receive minimum interference generated from all secondary users (SUs) in underlay cognitive radio networks (CRNs). The strategy considers the transmit power of each SU below the maximum allowable power of the devices and interference plus noise ratio (SINR) of each SU under the minimum threshold. Simulation illustrate thatthe RDPC can lead SUs to reduce the interference to PUs, and simultaneously the better meet quality of service (QoS) requirement of SUs in comparison with the distributed power control algorithm (DPC) and the traditional iterative water filling algorithm (IWFA) in time-varying channel environment.</span></p>

Sign in / Sign up

Export Citation Format

Share Document