Zhao, Guodong and Zhang, Wei and Li, Shaoqian (2017) Advanced Sensing Techniques for Cognitive Radio. Springer Nature, Switzerland. ISBN 978-3-319-42784-3
Full text not available from this repository.Abstract
The world of wireless technology is been one of the most progressive and challenging aspects for the users and providers. It deals with the wireless spectrum whose efficient use is of foremost concern. These are improved by the cognitive radio users for their noninterference communication with the licensed users. Spectrum holes detection and sensing is a dynamic time variant function which is been modified using the proposed source number detection and energy detection. Energy detection technique is implemented so as to compare the thresholds of the channels dynamically, and source detection method is used for predicting the number of channels where the energy detection is to be performed. The simulation results show the optimization and reduced probability of miss detection considering the change in threshold.
Item Type: | Book |
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Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD9502-9502.5 Energy industries. Energy policy. Fuel trade |
Divisions: | 03-Faculty of Engineering > 21001-Engineering Science (S3) |
Depositing User: | Users 1741 not found. |
Date Deposited: | 14 Oct 2019 04:58 |
Last Modified: | 14 Oct 2019 04:58 |
URI: | http://repository.unsri.ac.id/id/eprint/11563 |
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