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Distributed Power and Rate Control for Cognitive Radio Networks  

Wang, Wei (Wireless Signal Processing and Networking Lab, Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications(BUPT))
Wang, Wenbo (Wireless Signal Processing and Networking Lab, Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications(BUPT))
Zhu, Yajun (Datang Mobile Corporation)
Peng, Tao (Wireless Signal Processing and Networking Lab, Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications(BUPT))
Publication Information
Journal of Communications and Networks / v.11, no.2, 2009 , pp. 166-174 More about this Journal
Abstract
In this paper, a distributed power and end-to-end rate control algorithm is proposed in the presence of licensed users. By Lagrangian duality theory, the optimal power and rate control solution is given for the unlicensed users while satisfying the interference temperature limits to licensed users. It is obtained that transmitting with either 0 or the maximum node power is the optimal scheme. The synchronous and asynchronous distributed algorithms are proposed to be implemented at the nodes and links. The convergence of the proposed algorithms are proved. Finally, further discussion on the utility-based fairness is provided for the proposed algorithms. Numerical results show that the proposed algorithm can limit the interference to licensed user under a predefined threshold.
Keywords
Cognitive radio; fairness; Lagrangian duality; power control; rate control; wireless communication;
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