Non-coherent Power Decomposition-Based Energy Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks
Summary :
As the fundamental component of dynamic spectrum access, implementing spectrum sensing is one of the most important goals in cognitive radio networks due to its key functions of protecting licensed primary users from harmful interference and identifying spectrum holes for the improvement of spectrum utilization. However, its performance is generally compromised by the interference from adjacent primary channels. To cope with such interference and improve detection performance, this paper proposes a non-coherent power decomposition-based energy detection method for cooperative spectrum sensing. Due to its use of power decomposition, interference cancellation can be applied in energy detection. The proposed power decomposition does not require any prior knowledge of the primary signals. The power detection with its interference cancellation can be implemented indirectly by solving a non-homogeneous linear equation set with a coefficient matrix that involves only the distances between primary transmitters and cognitive secondary users (SUs). The optimal number of SUs for sensing a single channel and the number of channels that can be sensed simultaneously are also derived. The simulation results show that the proposed method is able to cope with the expected interference variation and achieve higher probability of detection and lower probability of false alarm than the conventional method in both hard combining and soft combining scenarios.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E95-B No.1 pp.234-242
- Publication Date
- 2012/01/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E95.B.234
- Type of Manuscript
- PAPER
- Category
- Terrestrial Wireless Communication/Broadcasting Technologies
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Keyword
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Bingxuan ZHAO, Shigeru SHIMAMOTO, "Non-coherent Power Decomposition-Based Energy Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks" in IEICE TRANSACTIONS on Communications,
vol. E95-B, no. 1, pp. 234-242, January 2012, doi: 10.1587/transcom.E95.B.234.
Abstract: As the fundamental component of dynamic spectrum access, implementing spectrum sensing is one of the most important goals in cognitive radio networks due to its key functions of protecting licensed primary users from harmful interference and identifying spectrum holes for the improvement of spectrum utilization. However, its performance is generally compromised by the interference from adjacent primary channels. To cope with such interference and improve detection performance, this paper proposes a non-coherent power decomposition-based energy detection method for cooperative spectrum sensing. Due to its use of power decomposition, interference cancellation can be applied in energy detection. The proposed power decomposition does not require any prior knowledge of the primary signals. The power detection with its interference cancellation can be implemented indirectly by solving a non-homogeneous linear equation set with a coefficient matrix that involves only the distances between primary transmitters and cognitive secondary users (SUs). The optimal number of SUs for sensing a single channel and the number of channels that can be sensed simultaneously are also derived. The simulation results show that the proposed method is able to cope with the expected interference variation and achieve higher probability of detection and lower probability of false alarm than the conventional method in both hard combining and soft combining scenarios.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.234/_p
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@ARTICLE{e95-b_1_234,
author={Bingxuan ZHAO, Shigeru SHIMAMOTO, },
journal={IEICE TRANSACTIONS on Communications},
title={Non-coherent Power Decomposition-Based Energy Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks},
year={2012},
volume={E95-B},
number={1},
pages={234-242},
abstract={As the fundamental component of dynamic spectrum access, implementing spectrum sensing is one of the most important goals in cognitive radio networks due to its key functions of protecting licensed primary users from harmful interference and identifying spectrum holes for the improvement of spectrum utilization. However, its performance is generally compromised by the interference from adjacent primary channels. To cope with such interference and improve detection performance, this paper proposes a non-coherent power decomposition-based energy detection method for cooperative spectrum sensing. Due to its use of power decomposition, interference cancellation can be applied in energy detection. The proposed power decomposition does not require any prior knowledge of the primary signals. The power detection with its interference cancellation can be implemented indirectly by solving a non-homogeneous linear equation set with a coefficient matrix that involves only the distances between primary transmitters and cognitive secondary users (SUs). The optimal number of SUs for sensing a single channel and the number of channels that can be sensed simultaneously are also derived. The simulation results show that the proposed method is able to cope with the expected interference variation and achieve higher probability of detection and lower probability of false alarm than the conventional method in both hard combining and soft combining scenarios.},
keywords={},
doi={10.1587/transcom.E95.B.234},
ISSN={1745-1345},
month={January},}
Copy
TY - JOUR
TI - Non-coherent Power Decomposition-Based Energy Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 234
EP - 242
AU - Bingxuan ZHAO
AU - Shigeru SHIMAMOTO
PY - 2012
DO - 10.1587/transcom.E95.B.234
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2012
AB - As the fundamental component of dynamic spectrum access, implementing spectrum sensing is one of the most important goals in cognitive radio networks due to its key functions of protecting licensed primary users from harmful interference and identifying spectrum holes for the improvement of spectrum utilization. However, its performance is generally compromised by the interference from adjacent primary channels. To cope with such interference and improve detection performance, this paper proposes a non-coherent power decomposition-based energy detection method for cooperative spectrum sensing. Due to its use of power decomposition, interference cancellation can be applied in energy detection. The proposed power decomposition does not require any prior knowledge of the primary signals. The power detection with its interference cancellation can be implemented indirectly by solving a non-homogeneous linear equation set with a coefficient matrix that involves only the distances between primary transmitters and cognitive secondary users (SUs). The optimal number of SUs for sensing a single channel and the number of channels that can be sensed simultaneously are also derived. The simulation results show that the proposed method is able to cope with the expected interference variation and achieve higher probability of detection and lower probability of false alarm than the conventional method in both hard combining and soft combining scenarios.
ER -
English
