IEICE TRANSACTIONS on Communications
A Robust Cooperative Spectrum Sensing Based on Kullback-Leibler Divergence
Summary :
Reliable detection of the licensed user signal is a pre-requirement for avoiding interference to the licensed user in a CR network. Cooperative spectrum sensing (CSS) is able to offer improved sensing performance compared to individual sensing. In this paper, we propose a robust soft combination rule based on the Kullback-Leibler divergence (KL-divergence) for CSS. The proposed scheme is able to obtain a similar sensing performance compared to that of maximum gain combination (MGC) without requiring signal to noise ratio (SNR) information. In addition, the proposed scheme protects the sensing process against common types of malicious users without a malicious user identification step. The simulation results demonstrate the effectiveness of the proposed scheme.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E95-B No.4 pp.1286-1290
- Publication Date
- 2012/04/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E95.B.1286
- Type of Manuscript
- Special Section LETTER (Special Section on Cognitive Radio and Heterogeneous Wireless Networks in Conjunction with Main Topics of CrownCom2011)
- Category
Authors
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Hiep VU-VAN, Insoo KOO, "A Robust Cooperative Spectrum Sensing Based on Kullback-Leibler Divergence" in IEICE TRANSACTIONS on Communications,
vol. E95-B, no. 4, pp. 1286-1290, April 2012, doi: 10.1587/transcom.E95.B.1286.
Abstract: Reliable detection of the licensed user signal is a pre-requirement for avoiding interference to the licensed user in a CR network. Cooperative spectrum sensing (CSS) is able to offer improved sensing performance compared to individual sensing. In this paper, we propose a robust soft combination rule based on the Kullback-Leibler divergence (KL-divergence) for CSS. The proposed scheme is able to obtain a similar sensing performance compared to that of maximum gain combination (MGC) without requiring signal to noise ratio (SNR) information. In addition, the proposed scheme protects the sensing process against common types of malicious users without a malicious user identification step. The simulation results demonstrate the effectiveness of the proposed scheme.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.1286/_p
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@ARTICLE{e95-b_4_1286,
author={Hiep VU-VAN, Insoo KOO, },
journal={IEICE TRANSACTIONS on Communications},
title={A Robust Cooperative Spectrum Sensing Based on Kullback-Leibler Divergence},
year={2012},
volume={E95-B},
number={4},
pages={1286-1290},
abstract={Reliable detection of the licensed user signal is a pre-requirement for avoiding interference to the licensed user in a CR network. Cooperative spectrum sensing (CSS) is able to offer improved sensing performance compared to individual sensing. In this paper, we propose a robust soft combination rule based on the Kullback-Leibler divergence (KL-divergence) for CSS. The proposed scheme is able to obtain a similar sensing performance compared to that of maximum gain combination (MGC) without requiring signal to noise ratio (SNR) information. In addition, the proposed scheme protects the sensing process against common types of malicious users without a malicious user identification step. The simulation results demonstrate the effectiveness of the proposed scheme.},
keywords={},
doi={10.1587/transcom.E95.B.1286},
ISSN={1745-1345},
month={April},}
Copy
TY - JOUR
TI - A Robust Cooperative Spectrum Sensing Based on Kullback-Leibler Divergence
T2 - IEICE TRANSACTIONS on Communications
SP - 1286
EP - 1290
AU - Hiep VU-VAN
AU - Insoo KOO
PY - 2012
DO - 10.1587/transcom.E95.B.1286
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2012
AB - Reliable detection of the licensed user signal is a pre-requirement for avoiding interference to the licensed user in a CR network. Cooperative spectrum sensing (CSS) is able to offer improved sensing performance compared to individual sensing. In this paper, we propose a robust soft combination rule based on the Kullback-Leibler divergence (KL-divergence) for CSS. The proposed scheme is able to obtain a similar sensing performance compared to that of maximum gain combination (MGC) without requiring signal to noise ratio (SNR) information. In addition, the proposed scheme protects the sensing process against common types of malicious users without a malicious user identification step. The simulation results demonstrate the effectiveness of the proposed scheme.
ER -
English
