Cluster based power efficient cooperative spectrum sensing under reduced bandwidth using location information
Frequency spectrum sharing between licensed primary users (PUs) and unlicensed secondary users (SUs) requires the SUs to reliably detect the spectrum occupancy. Due to multipath fading, single terminal detection is unreliable and results in a high probability of missed detection. This is solved by a...
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sg-ntu-dr.10356-982182020-05-28T07:17:22Z Cluster based power efficient cooperative spectrum sensing under reduced bandwidth using location information Smitha, Kavallur Gopi Vinod, Achutavarrier Prasad School of Computer Engineering DRNTU::Engineering::Computer science and engineering Frequency spectrum sharing between licensed primary users (PUs) and unlicensed secondary users (SUs) requires the SUs to reliably detect the spectrum occupancy. Due to multipath fading, single terminal detection is unreliable and results in a high probability of missed detection. This is solved by applying cooperative detection. However, when the number of SUs is large, the bandwidth for reporting their sensing results to the common receiver will be very huge. In this paper, we propose an improved frequency divisional cluster based cooperative spectrum sensing based on the location information which employs a censoring method to reduce the average number of sensing bits sent to the common receiver. The reduction in the number of sensing bits using proposed method in turn reduces the total transmission power of the secondary users in the cognitive network thus improving its battery life. 2013-07-26T03:34:34Z 2019-12-06T19:52:10Z 2013-07-26T03:34:34Z 2019-12-06T19:52:10Z 2012 2012 Journal Article Smitha, K. G., & Vinod, A. P. (2012). Cluster based power efficient cooperative spectrum sensing under reduced bandwidth using location information. AEU - International Journal of Electronics and Communications, 66(8), 619-624. 1434-8411 https://hdl.handle.net/10356/98218 http://hdl.handle.net/10220/12361 10.1016/j.aeue.2012.03.016 en AEU - international journal of electronics and communications © 2012 Elsevier GmbH. |
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DRNTU::Engineering::Computer science and engineering Smitha, Kavallur Gopi Vinod, Achutavarrier Prasad Cluster based power efficient cooperative spectrum sensing under reduced bandwidth using location information |
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Frequency spectrum sharing between licensed primary users (PUs) and unlicensed secondary users (SUs) requires the SUs to reliably detect the spectrum occupancy. Due to multipath fading, single terminal detection is unreliable and results in a high probability of missed detection. This is solved by applying cooperative detection. However, when the number of SUs is large, the bandwidth for reporting their sensing results to the common receiver will be very huge. In this paper, we propose an improved frequency divisional cluster based cooperative spectrum sensing based on the location information which employs a censoring method to reduce the average number of sensing bits sent to the common receiver. The reduction in the number of sensing bits using proposed method in turn reduces the total transmission power of the secondary users in the cognitive network thus improving its battery life. |
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School of Computer Engineering |
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School of Computer Engineering Smitha, Kavallur Gopi Vinod, Achutavarrier Prasad |
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Article |
author |
Smitha, Kavallur Gopi Vinod, Achutavarrier Prasad |
author_sort |
Smitha, Kavallur Gopi |
title |
Cluster based power efficient cooperative spectrum sensing under reduced bandwidth using location information |
title_short |
Cluster based power efficient cooperative spectrum sensing under reduced bandwidth using location information |
title_full |
Cluster based power efficient cooperative spectrum sensing under reduced bandwidth using location information |
title_fullStr |
Cluster based power efficient cooperative spectrum sensing under reduced bandwidth using location information |
title_full_unstemmed |
Cluster based power efficient cooperative spectrum sensing under reduced bandwidth using location information |
title_sort |
cluster based power efficient cooperative spectrum sensing under reduced bandwidth using location information |
publishDate |
2013 |
url |
https://hdl.handle.net/10356/98218 http://hdl.handle.net/10220/12361 |
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