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Application of Fuzzy Logic to Cognitive Radio Systems
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This paper reviews applications of fuzzy logic to telecommunications and proposes a novel fuzzy combining scheme for cooperative spectrum sensing in cognitive radio systems. A summary of previous applications of fuzzy logic to telecommunications is given outlining also potential applications of fuzzy logic in future cognitive radio systems. In complex and dynamic operational environments, future cognitive radio systems will need sophisticated decision making and environment awareness techniques that are capable of handling multidimensional, conflicting and usually non-predictable decision making problems where optimal solutions can not be necessarily found. The results indicate that fuzzy logic can be used in cooperative spectrum sensing to provide additional flexibility to existing combining methods.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E92-B No.12 pp.3572-3580
- Publication Date
- 2009/12/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E92.B.3572
- Type of Manuscript
- Special Section INVITED PAPER (Special Section on Dynamic Spectrum Access)
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Marja MATINMIKKO, Tapio RAUMA, Miia MUSTONEN, Ilkka HARJULA, Heli SARVANKO, Aarne MAMMELA, "Application of Fuzzy Logic to Cognitive Radio Systems" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 12, pp. 3572-3580, December 2009, doi: 10.1587/transcom.E92.B.3572.
Abstract: This paper reviews applications of fuzzy logic to telecommunications and proposes a novel fuzzy combining scheme for cooperative spectrum sensing in cognitive radio systems. A summary of previous applications of fuzzy logic to telecommunications is given outlining also potential applications of fuzzy logic in future cognitive radio systems. In complex and dynamic operational environments, future cognitive radio systems will need sophisticated decision making and environment awareness techniques that are capable of handling multidimensional, conflicting and usually non-predictable decision making problems where optimal solutions can not be necessarily found. The results indicate that fuzzy logic can be used in cooperative spectrum sensing to provide additional flexibility to existing combining methods.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.3572/_p
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@ARTICLE{e92-b_12_3572,
author={Marja MATINMIKKO, Tapio RAUMA, Miia MUSTONEN, Ilkka HARJULA, Heli SARVANKO, Aarne MAMMELA, },
journal={IEICE TRANSACTIONS on Communications},
title={Application of Fuzzy Logic to Cognitive Radio Systems},
year={2009},
volume={E92-B},
number={12},
pages={3572-3580},
abstract={This paper reviews applications of fuzzy logic to telecommunications and proposes a novel fuzzy combining scheme for cooperative spectrum sensing in cognitive radio systems. A summary of previous applications of fuzzy logic to telecommunications is given outlining also potential applications of fuzzy logic in future cognitive radio systems. In complex and dynamic operational environments, future cognitive radio systems will need sophisticated decision making and environment awareness techniques that are capable of handling multidimensional, conflicting and usually non-predictable decision making problems where optimal solutions can not be necessarily found. The results indicate that fuzzy logic can be used in cooperative spectrum sensing to provide additional flexibility to existing combining methods.},
keywords={},
doi={10.1587/transcom.E92.B.3572},
ISSN={1745-1345},
month={December},}
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TY - JOUR
TI - Application of Fuzzy Logic to Cognitive Radio Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 3572
EP - 3580
AU - Marja MATINMIKKO
AU - Tapio RAUMA
AU - Miia MUSTONEN
AU - Ilkka HARJULA
AU - Heli SARVANKO
AU - Aarne MAMMELA
PY - 2009
DO - 10.1587/transcom.E92.B.3572
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2009
AB - This paper reviews applications of fuzzy logic to telecommunications and proposes a novel fuzzy combining scheme for cooperative spectrum sensing in cognitive radio systems. A summary of previous applications of fuzzy logic to telecommunications is given outlining also potential applications of fuzzy logic in future cognitive radio systems. In complex and dynamic operational environments, future cognitive radio systems will need sophisticated decision making and environment awareness techniques that are capable of handling multidimensional, conflicting and usually non-predictable decision making problems where optimal solutions can not be necessarily found. The results indicate that fuzzy logic can be used in cooperative spectrum sensing to provide additional flexibility to existing combining methods.
ER -
English
