A mathematical approach for hidden node problem in cognitive radio networks
Cognitive radio (CR) technology has emerged as a realistic solution to the spectrum scarcity problem in present day wireless networks. A major challenge in CR radio networks is the hidden node problem, which is the inability of the CR nodes to detect the primary user. This paper proposes energy dete...
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Online Access: | http://eprints.utm.my/id/eprint/75680/1/KamaludinMohammadYusof_AMathematicalApproachforHiddenNode.pdf http://eprints.utm.my/id/eprint/75680/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031709088&doi=10.12928%2fTELKOMNIKA.v15i3.6897&partnerID=40&md5=07ac6fea10e2757a27e75906fadc30c0 |
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my.utm.756802018-04-27T01:43:20Z http://eprints.utm.my/id/eprint/75680/ A mathematical approach for hidden node problem in cognitive radio networks Obite, F. Yusof, K. M. Din, J. TK Electrical engineering. Electronics Nuclear engineering Cognitive radio (CR) technology has emerged as a realistic solution to the spectrum scarcity problem in present day wireless networks. A major challenge in CR radio networks is the hidden node problem, which is the inability of the CR nodes to detect the primary user. This paper proposes energy detector-based distributed sequential cooperative spectrum sensing over Nakagami-m fading, as a tool to solve the hidden node problem. The derivation of energy detection performance over Nakagami-m fading channel is presented. Since the observation represents a random variable, likelihood ratio test (LRT) is known to be optimal in this type of detection problem. The LRT is implemented using the Neyman-Pearson Criterion (maximizing the probability of detection but at a constraint of false alarm probability). The performance of the proposed method has been evaluated both by numerical analysis and simulations. The effect of cooperation among a group of CR nodes and system parameters such as SNR, detection threshold and number of samples per CR nodes is investigated. Results show improved detection performance by implementing the proposed model. Universitas Ahmad Dahlan 2017 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/75680/1/KamaludinMohammadYusof_AMathematicalApproachforHiddenNode.pdf Obite, F. and Yusof, K. M. and Din, J. (2017) A mathematical approach for hidden node problem in cognitive radio networks. Telkomnika (Telecommunication Computing Electronics and Control), 15 (3). pp. 1127-1136. ISSN 1693-6930 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031709088&doi=10.12928%2fTELKOMNIKA.v15i3.6897&partnerID=40&md5=07ac6fea10e2757a27e75906fadc30c0 |
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TK Electrical engineering. Electronics Nuclear engineering Obite, F. Yusof, K. M. Din, J. A mathematical approach for hidden node problem in cognitive radio networks |
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Cognitive radio (CR) technology has emerged as a realistic solution to the spectrum scarcity problem in present day wireless networks. A major challenge in CR radio networks is the hidden node problem, which is the inability of the CR nodes to detect the primary user. This paper proposes energy detector-based distributed sequential cooperative spectrum sensing over Nakagami-m fading, as a tool to solve the hidden node problem. The derivation of energy detection performance over Nakagami-m fading channel is presented. Since the observation represents a random variable, likelihood ratio test (LRT) is known to be optimal in this type of detection problem. The LRT is implemented using the Neyman-Pearson Criterion (maximizing the probability of detection but at a constraint of false alarm probability). The performance of the proposed method has been evaluated both by numerical analysis and simulations. The effect of cooperation among a group of CR nodes and system parameters such as SNR, detection threshold and number of samples per CR nodes is investigated. Results show improved detection performance by implementing the proposed model. |
format |
Article |
author |
Obite, F. Yusof, K. M. Din, J. |
author_facet |
Obite, F. Yusof, K. M. Din, J. |
author_sort |
Obite, F. |
title |
A mathematical approach for hidden node problem in cognitive radio networks |
title_short |
A mathematical approach for hidden node problem in cognitive radio networks |
title_full |
A mathematical approach for hidden node problem in cognitive radio networks |
title_fullStr |
A mathematical approach for hidden node problem in cognitive radio networks |
title_full_unstemmed |
A mathematical approach for hidden node problem in cognitive radio networks |
title_sort |
mathematical approach for hidden node problem in cognitive radio networks |
publisher |
Universitas Ahmad Dahlan |
publishDate |
2017 |
url |
http://eprints.utm.my/id/eprint/75680/1/KamaludinMohammadYusof_AMathematicalApproachforHiddenNode.pdf http://eprints.utm.my/id/eprint/75680/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031709088&doi=10.12928%2fTELKOMNIKA.v15i3.6897&partnerID=40&md5=07ac6fea10e2757a27e75906fadc30c0 |
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13.15806 |