Robust Detection of Incumbents in Cognitive Radio Networks Using Groups

Helena RIFA-POUS; Mercedes JIMENEZ BLASCO; Jose Carlos MUT ROJAS

doi:10.1587/transcom.E94.B.2558

Robust Detection of Incumbents in Cognitive Radio Networks Using Groups

Helena RIFA-POUS, Mercedes JIMENEZ BLASCO, Jose Carlos MUT ROJAS

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Cognitive radio is a wireless technology aimed at improving the efficient use of the radio-electric spectrum, thus facilitating a reduction in the load on the free frequency bands. Cognitive radio networks can scan the spectrum and adapt their parameters to operate in the unoccupied bands. To avoid interfering with licensed users operating on a given channel, the networks need to be highly sensitive, which is achieved by using cooperative sensing methods. Current cooperative sensing methods are not robust enough against occasional or continuous attacks. This article outlines a Group Fusion method that takes into account the behaviour of users over the short and long term. On fusing the data, the method is based on giving more weight to user groups that are more unanimous in their decisions. Simulations of a dynamic environment with interference are performed. Results prove that when attackers are present (both reiterative or sporadic), the proposed Group Fusion method has superior sensing capability than other methods.

Publication: IEICE TRANSACTIONS on Communications Vol.E94-B No.9 pp.2558-2564

Publication Date: 2011/09/01

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Online ISSN: 1745-1345

DOI: 10.1587/transcom.E94.B.2558

Type of Manuscript: PAPER

Category: Wireless Communication Technologies

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Helena RIFA-POUS, Mercedes JIMENEZ BLASCO, Jose Carlos MUT ROJAS, "Robust Detection of Incumbents in Cognitive Radio Networks Using Groups" in IEICE TRANSACTIONS on Communications, vol. E94-B, no. 9, pp. 2558-2564, September 2011, doi: 10.1587/transcom.E94.B.2558.
Abstract: Cognitive radio is a wireless technology aimed at improving the efficient use of the radio-electric spectrum, thus facilitating a reduction in the load on the free frequency bands. Cognitive radio networks can scan the spectrum and adapt their parameters to operate in the unoccupied bands. To avoid interfering with licensed users operating on a given channel, the networks need to be highly sensitive, which is achieved by using cooperative sensing methods. Current cooperative sensing methods are not robust enough against occasional or continuous attacks. This article outlines a Group Fusion method that takes into account the behaviour of users over the short and long term. On fusing the data, the method is based on giving more weight to user groups that are more unanimous in their decisions. Simulations of a dynamic environment with interference are performed. Results prove that when attackers are present (both reiterative or sporadic), the proposed Group Fusion method has superior sensing capability than other methods.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.2558/_p

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@ARTICLE{e94-b_9_2558,
author={Helena RIFA-POUS, Mercedes JIMENEZ BLASCO, Jose Carlos MUT ROJAS, },
journal={IEICE TRANSACTIONS on Communications},
title={Robust Detection of Incumbents in Cognitive Radio Networks Using Groups},
year={2011},
volume={E94-B},
number={9},
pages={2558-2564},
abstract={Cognitive radio is a wireless technology aimed at improving the efficient use of the radio-electric spectrum, thus facilitating a reduction in the load on the free frequency bands. Cognitive radio networks can scan the spectrum and adapt their parameters to operate in the unoccupied bands. To avoid interfering with licensed users operating on a given channel, the networks need to be highly sensitive, which is achieved by using cooperative sensing methods. Current cooperative sensing methods are not robust enough against occasional or continuous attacks. This article outlines a Group Fusion method that takes into account the behaviour of users over the short and long term. On fusing the data, the method is based on giving more weight to user groups that are more unanimous in their decisions. Simulations of a dynamic environment with interference are performed. Results prove that when attackers are present (both reiterative or sporadic), the proposed Group Fusion method has superior sensing capability than other methods.},
keywords={},
doi={10.1587/transcom.E94.B.2558},
ISSN={1745-1345},
month={September},}

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TY - JOUR
TI - Robust Detection of Incumbents in Cognitive Radio Networks Using Groups
T2 - IEICE TRANSACTIONS on Communications
SP - 2558
EP - 2564
AU - Helena RIFA-POUS
AU - Mercedes JIMENEZ BLASCO
AU - Jose Carlos MUT ROJAS
PY - 2011
DO - 10.1587/transcom.E94.B.2558
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2011
AB - Cognitive radio is a wireless technology aimed at improving the efficient use of the radio-electric spectrum, thus facilitating a reduction in the load on the free frequency bands. Cognitive radio networks can scan the spectrum and adapt their parameters to operate in the unoccupied bands. To avoid interfering with licensed users operating on a given channel, the networks need to be highly sensitive, which is achieved by using cooperative sensing methods. Current cooperative sensing methods are not robust enough against occasional or continuous attacks. This article outlines a Group Fusion method that takes into account the behaviour of users over the short and long term. On fusing the data, the method is based on giving more weight to user groups that are more unanimous in their decisions. Simulations of a dynamic environment with interference are performed. Results prove that when attackers are present (both reiterative or sporadic), the proposed Group Fusion method has superior sensing capability than other methods.
ER -