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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yuling Zhang Fuzeng Zhang Wenwei He |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Computer Science and Technology, Ludong University, Yantai, Shandong, 264025, China (Yuling Zhang; Fuzeng Zhang; Wenwei He) |
| Abstract | In this paper, we investigate the adaptive transmission in cognitive radio networks using genetic algorithms (GA), the relevant communication parameters are optimized in a dynamic wireless channel environment. Firstly, we give the variables representing the transmission parameters that can be controlled by the system, several objective functions in different layers must also be determined to define how the cognitive radio should operate, then we invoke genetic algorithms for iteratively finding the optimum parameters toward different quality of service (QoS) based on the channel environment. The channel state information is assumed to be perfectly known by the transmission side. Simulation results show that our implementation outperforms the conventional scheme for with parameters are optimized at each layer separately. |
| Starting Page | 1951 |
| Ending Page | 1953 |
| File Size | 95862 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781424427222 |
| DOI | 10.1109/CCDC.2009.5191617 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Bit error rate Quality of service Cognitive radio network Physical layer Cognitive radio Power system modeling Engines Delay Genetic algorithms Wireless communication Genetic algorithm Adaptive transmission Resource management |
| Content Type | Text |
| Resource Type | Article |
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