A Novel Framework for Spectrum Sensing in Cognitive Radio Networks

Navid TAFAGHODI KHAJAVI; Siavash SADEGHI IVRIGH; Seyed Mohammad-Sajad SADOUGH

doi:10.1587/transcom.E94.B.2600

A Novel Framework for Spectrum Sensing in Cognitive Radio Networks

Navid TAFAGHODI KHAJAVI, Siavash SADEGHI IVRIGH, Seyed Mohammad-Sajad SADOUGH

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Cognitive radio (CR) is a key solution for the problem of inefficient usage of spectral resources. Spectrum sensing in each CR aims at detecting whether a preassigned spectrum band is occupied by a primary user or not. Conventional techniques do not allow the CR to communicate with its own base station during the spectrum sensing process. So, only a part of the frame can be used for cognitive data transmission. In this paper, we introduce a new spectrum sensing framework that combines a blind source separation technique with conventional spectrum sensing techniques. In this way, the cognitive transmitter can continue to transmit during spectrum sensing, if it was in operation in the previous frame. Moreover, the accuracy is improved since the decision made by the spectrum unit in each frame depends on the decision made in the previous frame. We use Markov chain tools to model the behavior of our spectrum sensing proposal and to derive the parameters that characterize its performance. Numerical results are provided to confirm the superiority of the proposed technique compared to conventional spectrum sensing techniques.

Publication: IEICE TRANSACTIONS on Communications Vol.E94-B No.9 pp.2600-2609

Publication Date: 2011/09/01

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Online ISSN: 1745-1345

DOI: 10.1587/transcom.E94.B.2600

Type of Manuscript: PAPER

Category: Wireless Communication Technologies

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Navid TAFAGHODI KHAJAVI, Siavash SADEGHI IVRIGH, Seyed Mohammad-Sajad SADOUGH, "A Novel Framework for Spectrum Sensing in Cognitive Radio Networks" in IEICE TRANSACTIONS on Communications, vol. E94-B, no. 9, pp. 2600-2609, September 2011, doi: 10.1587/transcom.E94.B.2600.
Abstract: Cognitive radio (CR) is a key solution for the problem of inefficient usage of spectral resources. Spectrum sensing in each CR aims at detecting whether a preassigned spectrum band is occupied by a primary user or not. Conventional techniques do not allow the CR to communicate with its own base station during the spectrum sensing process. So, only a part of the frame can be used for cognitive data transmission. In this paper, we introduce a new spectrum sensing framework that combines a blind source separation technique with conventional spectrum sensing techniques. In this way, the cognitive transmitter can continue to transmit during spectrum sensing, if it was in operation in the previous frame. Moreover, the accuracy is improved since the decision made by the spectrum unit in each frame depends on the decision made in the previous frame. We use Markov chain tools to model the behavior of our spectrum sensing proposal and to derive the parameters that characterize its performance. Numerical results are provided to confirm the superiority of the proposed technique compared to conventional spectrum sensing techniques.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.2600/_p

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@ARTICLE{e94-b_9_2600,
author={Navid TAFAGHODI KHAJAVI, Siavash SADEGHI IVRIGH, Seyed Mohammad-Sajad SADOUGH, },
journal={IEICE TRANSACTIONS on Communications},
title={A Novel Framework for Spectrum Sensing in Cognitive Radio Networks},
year={2011},
volume={E94-B},
number={9},
pages={2600-2609},
abstract={Cognitive radio (CR) is a key solution for the problem of inefficient usage of spectral resources. Spectrum sensing in each CR aims at detecting whether a preassigned spectrum band is occupied by a primary user or not. Conventional techniques do not allow the CR to communicate with its own base station during the spectrum sensing process. So, only a part of the frame can be used for cognitive data transmission. In this paper, we introduce a new spectrum sensing framework that combines a blind source separation technique with conventional spectrum sensing techniques. In this way, the cognitive transmitter can continue to transmit during spectrum sensing, if it was in operation in the previous frame. Moreover, the accuracy is improved since the decision made by the spectrum unit in each frame depends on the decision made in the previous frame. We use Markov chain tools to model the behavior of our spectrum sensing proposal and to derive the parameters that characterize its performance. Numerical results are provided to confirm the superiority of the proposed technique compared to conventional spectrum sensing techniques.},
keywords={},
doi={10.1587/transcom.E94.B.2600},
ISSN={1745-1345},
month={September},}

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TY - JOUR
TI - A Novel Framework for Spectrum Sensing in Cognitive Radio Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 2600
EP - 2609
AU - Navid TAFAGHODI KHAJAVI
AU - Siavash SADEGHI IVRIGH
AU - Seyed Mohammad-Sajad SADOUGH
PY - 2011
DO - 10.1587/transcom.E94.B.2600
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2011
AB - Cognitive radio (CR) is a key solution for the problem of inefficient usage of spectral resources. Spectrum sensing in each CR aims at detecting whether a preassigned spectrum band is occupied by a primary user or not. Conventional techniques do not allow the CR to communicate with its own base station during the spectrum sensing process. So, only a part of the frame can be used for cognitive data transmission. In this paper, we introduce a new spectrum sensing framework that combines a blind source separation technique with conventional spectrum sensing techniques. In this way, the cognitive transmitter can continue to transmit during spectrum sensing, if it was in operation in the previous frame. Moreover, the accuracy is improved since the decision made by the spectrum unit in each frame depends on the decision made in the previous frame. We use Markov chain tools to model the behavior of our spectrum sensing proposal and to derive the parameters that characterize its performance. Numerical results are provided to confirm the superiority of the proposed technique compared to conventional spectrum sensing techniques.
ER -