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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xianfu Chen Zhifeng Zhao Honggang Zhang Tao Chen |
| Copyright Year | 2009 |
| Description | Author affiliation: Key Laboratory of Integrate Information Network Technology, Zhejiang University, Zheda Road 38, 310027 Hangzhou, China (Xianfu Chen; Zhifeng Zhao; Honggang Zhang) || VTT Technical Research Centre of Finland, P.O. Box 1100, FI-90571 Oulu, Finland (Tao Chen) |
| Abstract | As the limited spectrum resource becoming over crowded, cognitive wireless mesh networks have great flexibility to improve the spectrum utilization by opportunistically accessing the authorized frequency bands. One of critical challenges for realizing such networks is how to adaptively allocate transmit powers and frequencies among secondary users (SUs) while maintaining the quality of service (QoS) requirement of the primary users (PUs). In this paper, we consider the power control problem in cognitive wireless mesh network formed by clusters under the total transmit power constraint by each SU as well as the mean-squared error (MSE) constraint by the PU. The problem is modeled as a non-cooperative game. A distributed iterative power allocation algorithm is proposed to reach the Nash equilibrium (NE). It offers an opportunity for SUs to negotiate the best use of power and frequency with each other. Numerical results are presented to illustrate the efficiency and accuracy of the algorithm. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 144386 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424448562 |
| DOI | 10.1109/WCSP.2009.5371443 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-13 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Quality of service Interference Iterative water-filling Physical layer Cognitive radio Distributed power control CogMesh Wireless mesh networks Power control Dynamic spectrum aceess Clustering algorithms Chromium Frequency Iterative algorithms Cognitive wireless mesh networks |
| Content Type | Text |
| Resource Type | Article |
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