An Efficient Ordered Sequential Cooperative Spectrum Sensing Scheme Based on Evidence Theory in Cognitive Radio
Summary :
Spectrum sensing is a fundamental function for cognitive radio network to protect transmission of primary system. Cooperative spectrum sensing, which can help increasing sensing performance, is regarded as one of the most promising methods in realizing a reliable cognitive network. In such cooperation system, however the communication resources such as sensing time delay, control channel bandwidth and consumption energy for reporting the cognitive radio node's sensing results to the fusion center may become extremely huge when the number of cognitive users is large. In this paper, we propose an ordered sequential cooperative spectrum sensing scheme in which the local sensing data will be sent according to its reliability order to the fusion center. In proposed scheme, the sequential fusion process is sequentially conducted based on Dempster Shafer theory of evidence's combination of the reported sensing results. Above all, the proposed scheme is highly feasible due to the proposed two ordered sequential reporting methods. From simulation results, it is shown that the proposed technique not only keeps the same sensing performance of non-sequential fusion scheme but also extremely reduces the reporting resource requirements.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E93-B No.12 pp.3248-3257
- Publication Date
- 2010/12/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E93.B.3248
- Type of Manuscript
- Special Section PAPER (Special Section on Wireless Distributed Networks)
- Category
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Nhan NGUYEN-THANH, Insoo KOO, "An Efficient Ordered Sequential Cooperative Spectrum Sensing Scheme Based on Evidence Theory in Cognitive Radio" in IEICE TRANSACTIONS on Communications,
vol. E93-B, no. 12, pp. 3248-3257, December 2010, doi: 10.1587/transcom.E93.B.3248.
Abstract: Spectrum sensing is a fundamental function for cognitive radio network to protect transmission of primary system. Cooperative spectrum sensing, which can help increasing sensing performance, is regarded as one of the most promising methods in realizing a reliable cognitive network. In such cooperation system, however the communication resources such as sensing time delay, control channel bandwidth and consumption energy for reporting the cognitive radio node's sensing results to the fusion center may become extremely huge when the number of cognitive users is large. In this paper, we propose an ordered sequential cooperative spectrum sensing scheme in which the local sensing data will be sent according to its reliability order to the fusion center. In proposed scheme, the sequential fusion process is sequentially conducted based on Dempster Shafer theory of evidence's combination of the reported sensing results. Above all, the proposed scheme is highly feasible due to the proposed two ordered sequential reporting methods. From simulation results, it is shown that the proposed technique not only keeps the same sensing performance of non-sequential fusion scheme but also extremely reduces the reporting resource requirements.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E93.B.3248/_p
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@ARTICLE{e93-b_12_3248,
author={Nhan NGUYEN-THANH, Insoo KOO, },
journal={IEICE TRANSACTIONS on Communications},
title={An Efficient Ordered Sequential Cooperative Spectrum Sensing Scheme Based on Evidence Theory in Cognitive Radio},
year={2010},
volume={E93-B},
number={12},
pages={3248-3257},
abstract={Spectrum sensing is a fundamental function for cognitive radio network to protect transmission of primary system. Cooperative spectrum sensing, which can help increasing sensing performance, is regarded as one of the most promising methods in realizing a reliable cognitive network. In such cooperation system, however the communication resources such as sensing time delay, control channel bandwidth and consumption energy for reporting the cognitive radio node's sensing results to the fusion center may become extremely huge when the number of cognitive users is large. In this paper, we propose an ordered sequential cooperative spectrum sensing scheme in which the local sensing data will be sent according to its reliability order to the fusion center. In proposed scheme, the sequential fusion process is sequentially conducted based on Dempster Shafer theory of evidence's combination of the reported sensing results. Above all, the proposed scheme is highly feasible due to the proposed two ordered sequential reporting methods. From simulation results, it is shown that the proposed technique not only keeps the same sensing performance of non-sequential fusion scheme but also extremely reduces the reporting resource requirements.},
keywords={},
doi={10.1587/transcom.E93.B.3248},
ISSN={1745-1345},
month={December},}
Copy
TY - JOUR
TI - An Efficient Ordered Sequential Cooperative Spectrum Sensing Scheme Based on Evidence Theory in Cognitive Radio
T2 - IEICE TRANSACTIONS on Communications
SP - 3248
EP - 3257
AU - Nhan NGUYEN-THANH
AU - Insoo KOO
PY - 2010
DO - 10.1587/transcom.E93.B.3248
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E93-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2010
AB - Spectrum sensing is a fundamental function for cognitive radio network to protect transmission of primary system. Cooperative spectrum sensing, which can help increasing sensing performance, is regarded as one of the most promising methods in realizing a reliable cognitive network. In such cooperation system, however the communication resources such as sensing time delay, control channel bandwidth and consumption energy for reporting the cognitive radio node's sensing results to the fusion center may become extremely huge when the number of cognitive users is large. In this paper, we propose an ordered sequential cooperative spectrum sensing scheme in which the local sensing data will be sent according to its reliability order to the fusion center. In proposed scheme, the sequential fusion process is sequentially conducted based on Dempster Shafer theory of evidence's combination of the reported sensing results. Above all, the proposed scheme is highly feasible due to the proposed two ordered sequential reporting methods. From simulation results, it is shown that the proposed technique not only keeps the same sensing performance of non-sequential fusion scheme but also extremely reduces the reporting resource requirements.
ER -
English
