Parallel Cyclostationarity-Exploiting Algorithm for Energy-Efficient Spectrum Sensing
Summary :
The evolution of wireless communication systems leads to Dynamic Spectrum Allocation for Cognitive Radio, which requires reliable spectrum sensing techniques. Among the spectrum sensing methods proposed in the literature, those that exploit cyclostationary characteristics of radio signals are particularly suitable for communication environments with low signal-to-noise ratios, or with non-stationary noise. However, such methods have high computational complexity that directly raises the power consumption of devices which often have very stringent low-power requirements. We propose a strategy for cyclostationary spectrum sensing with reduced energy consumption. This strategy is based on the principle that p processors working at slower frequencies consume less power than a single processor for the same execution time. We devise a strict relation between the energy savings and common parallel system metrics. The results of simulations show that our strategy promises very significant savings in actual devices.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E97-B No.2 pp.326-333
- Publication Date
- 2014/02/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E97.B.326
- Type of Manuscript
- Special Section PAPER (Special Section on Technologies for Effective Utilization of Spectrum White Space)
- Category
Authors
Arthur D.D. LIMA
Universidade Federal do Rio Grande do Norte
Carlos A. BARROS
Ci^{e}ncia e Tecnologia do Rio Grande do Norte
Luiz Felipe Q. SILVEIRA
Universidade Federal do Rio Grande do Norte
Samuel XAVIER-DE-SOUZA
Universidade Federal do Rio Grande do Norte
Carlos A. VALDERRAMA
Universit'e de Mons
Keyword
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Arthur D.D. LIMA, Carlos A. BARROS, Luiz Felipe Q. SILVEIRA, Samuel XAVIER-DE-SOUZA, Carlos A. VALDERRAMA, "Parallel Cyclostationarity-Exploiting Algorithm for Energy-Efficient Spectrum Sensing" in IEICE TRANSACTIONS on Communications,
vol. E97-B, no. 2, pp. 326-333, February 2014, doi: 10.1587/transcom.E97.B.326.
Abstract: The evolution of wireless communication systems leads to Dynamic Spectrum Allocation for Cognitive Radio, which requires reliable spectrum sensing techniques. Among the spectrum sensing methods proposed in the literature, those that exploit cyclostationary characteristics of radio signals are particularly suitable for communication environments with low signal-to-noise ratios, or with non-stationary noise. However, such methods have high computational complexity that directly raises the power consumption of devices which often have very stringent low-power requirements. We propose a strategy for cyclostationary spectrum sensing with reduced energy consumption. This strategy is based on the principle that p processors working at slower frequencies consume less power than a single processor for the same execution time. We devise a strict relation between the energy savings and common parallel system metrics. The results of simulations show that our strategy promises very significant savings in actual devices.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E97.B.326/_p
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@ARTICLE{e97-b_2_326,
author={Arthur D.D. LIMA, Carlos A. BARROS, Luiz Felipe Q. SILVEIRA, Samuel XAVIER-DE-SOUZA, Carlos A. VALDERRAMA, },
journal={IEICE TRANSACTIONS on Communications},
title={Parallel Cyclostationarity-Exploiting Algorithm for Energy-Efficient Spectrum Sensing},
year={2014},
volume={E97-B},
number={2},
pages={326-333},
abstract={The evolution of wireless communication systems leads to Dynamic Spectrum Allocation for Cognitive Radio, which requires reliable spectrum sensing techniques. Among the spectrum sensing methods proposed in the literature, those that exploit cyclostationary characteristics of radio signals are particularly suitable for communication environments with low signal-to-noise ratios, or with non-stationary noise. However, such methods have high computational complexity that directly raises the power consumption of devices which often have very stringent low-power requirements. We propose a strategy for cyclostationary spectrum sensing with reduced energy consumption. This strategy is based on the principle that p processors working at slower frequencies consume less power than a single processor for the same execution time. We devise a strict relation between the energy savings and common parallel system metrics. The results of simulations show that our strategy promises very significant savings in actual devices.},
keywords={},
doi={10.1587/transcom.E97.B.326},
ISSN={1745-1345},
month={February},}
Copy
TY - JOUR
TI - Parallel Cyclostationarity-Exploiting Algorithm for Energy-Efficient Spectrum Sensing
T2 - IEICE TRANSACTIONS on Communications
SP - 326
EP - 333
AU - Arthur D.D. LIMA
AU - Carlos A. BARROS
AU - Luiz Felipe Q. SILVEIRA
AU - Samuel XAVIER-DE-SOUZA
AU - Carlos A. VALDERRAMA
PY - 2014
DO - 10.1587/transcom.E97.B.326
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E97-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2014
AB - The evolution of wireless communication systems leads to Dynamic Spectrum Allocation for Cognitive Radio, which requires reliable spectrum sensing techniques. Among the spectrum sensing methods proposed in the literature, those that exploit cyclostationary characteristics of radio signals are particularly suitable for communication environments with low signal-to-noise ratios, or with non-stationary noise. However, such methods have high computational complexity that directly raises the power consumption of devices which often have very stringent low-power requirements. We propose a strategy for cyclostationary spectrum sensing with reduced energy consumption. This strategy is based on the principle that p processors working at slower frequencies consume less power than a single processor for the same execution time. We devise a strict relation between the energy savings and common parallel system metrics. The results of simulations show that our strategy promises very significant savings in actual devices.
ER -
English
