Orthogonal frequency-division multiplexing-based cooperative spectrum sensing for cognitive radio networks

The detection of transmitted data collusion among sensing nodes needs to be resolved at data link layer. It takes a lot algorithm calculation effort and time constraint. A new method to sense the performance of cognitive radio (CR) by avoiding interference based on new master node (MN) algorithm. In...

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Bibliographic Details
Main Authors: Marwanto, Arief (Author), Syed Yusof, Sharifah Kamilah (Author), Satria, Muhammad Haikal (Author)
Format: Article
Language:English
Published: Universitas Ahmad Dahlan, 2014.
Subjects:
Online Access:Get fulltext
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100 1 0 |a Marwanto, Arief  |e author 
700 1 0 |a Syed Yusof, Sharifah Kamilah  |e author 
700 1 0 |a Satria, Muhammad Haikal  |e author 
245 0 0 |a Orthogonal frequency-division multiplexing-based cooperative spectrum sensing for cognitive radio networks 
260 |b Universitas Ahmad Dahlan,   |c 2014. 
856 |z Get fulltext  |u http://eprints.utm.my/id/eprint/54387/1/AriefMarwanto2014_Orthogonalfrequency-divisionmultiplexing.pdf 
520 |a The detection of transmitted data collusion among sensing nodes needs to be resolved at data link layer. It takes a lot algorithm calculation effort and time constraint. A new method to sense the performance of cognitive radio (CR) by avoiding interference based on new master node (MN) algorithm. Interference could be reduced significantly by using only PHY (physical) information of the cognitive radio network. It saves a lot computational on above layer and detect the collusion of transmitted data as early as possible. By using a novel MN algorithm at PHY layer, it reduces the cost of computation and time to detect and avoid collusion of transmitted data 
546 |a en 
650 0 4 |a TK Electrical engineering. Electronics Nuclear engineering