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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hu Zheng Zhang Guoyi Zhao Lili |
| Copyright Year | 2010 |
| Description | Author affiliation: Key Laboratory of Universal Wireless Communications Ministry of Education, Beijing University of Posts and Telecommunications (BUPT), 100876, China (Hu Zheng; Zhang Guoyi; Zhao Lili) |
| Abstract | Dynamic spectrum access becomes a promising approach to increase the efficiency of spectrum usage. Serveral game theoretic model based dynamic spectrum sharing scheme were proposed to harmonize the system global utility and individual payoffs. Since DSAN users with limited rationality and selfishness adapt their behaviors to environmental dynamics gradually rather than quickly response to the change of environment as in traditional game, we focus on evolutionary features of the game process. We proposed a multistage dynamic spectrum sharing framework in which two stages are iterated. In Stage I, the centralized spectrum allocation is processed with the goal of getting interference free allocation with maximum system utilization. Stage II covers evolutionary spectrum trading and the evolutionary game based solution is extended to support global information and re-division of groups. Simulation shows the framework works well with dynamics of adaptation of users in DSANs, while achieving equilibrium for system utilities. |
| File Size | 321852 |
| File Format | |
| ISBN | 9781424463473 |
| e-ISBN | 9781424463497 |
| DOI | 10.1109/ICCET.2010.5485574 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-04-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Laboratories Stochastic processes Interference Multistage framework Cognitive radio Game theory Wireless communication Intelligent networks Spectrum trading Pricing Permission Spectrum sharing Distributed algorithms Cognitive radio networks |
| Content Type | Text |
| Resource Type | Article |
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