Simple Primary User Signal Area Estimation for Spectrum Measurement

Kenta UMEBAYASHI; Kazuki MORIWAKI; Riki MIZUCHI; Hiroki IWATA; Samuli TIIRO; Janne J. LEHTOMÄKI; Miguel LÓPEZ-BENÍTEZ; Yasuo SUZUKI

doi:10.1587/transcom.2015EBP3240

Simple Primary User Signal Area Estimation for Spectrum Measurement

Kenta UMEBAYASHI, Kazuki MORIWAKI, Riki MIZUCHI, Hiroki IWATA, Samuli TIIRO, Janne J. LEHTOMÄKI, Miguel LÓPEZ-BENÍTEZ, Yasuo SUZUKI

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This paper investigates a signal area (SA) estimation method for wideband and long time duration spectrum measurements for dynamic spectrum access. SA denotes the area (in time/frequency domain) occupied by the primary user's signal. The traditional approach, which utilizes only Fourier transform (FT) and energy detector (ED) for SA estimation, can achieve low complexity, but its estimation performance is not very high. Against this issue, we apply post-processing to improve the performance of the FT-based ED. Our proposed method, simple SA (S-SA) estimation, exploits the correlation of the spectrum states among the neighboring tiles and the fact that SA typically has a rectangular shape to estimate SA with high accuracy and relatively low complexity compared to a conventional method, contour tracing SA (CT-SA) estimation. Numerical results will show that the S-SA estimation method can achieve better detection performance. The SA estimation and processing can reduce the number of bits needed to store/transmit the observed information compared to the FT-based ED. Thus, in addition to improved detection performance it also compresses the data.

Publication: IEICE TRANSACTIONS on Communications Vol.E99-B No.2 pp.523-532

Publication Date: 2016/02/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2015EBP3240

Type of Manuscript: PAPER

Category: Terrestrial Wireless Communication/Broadcasting Technologies

Authors

Kenta UMEBAYASHI
  Tokyo University of Agriculture and Technology
Kazuki MORIWAKI
  Tokyo University of Agriculture and Technology
Riki MIZUCHI
  Tokyo University of Agriculture and Technology
Hiroki IWATA
  Tokyo University of Agriculture and Technology
Samuli TIIRO
  Tokyo University of Agriculture and Technology
Janne J. LEHTOMÄKI
  University of Oulu
Miguel LÓPEZ-BENÍTEZ
  University of Liverpool
Yasuo SUZUKI
  Tokyo University of Agriculture and Technology

Keyword

dynamic spectrum access, smart spectrum access, spectrum measurement, cognitive radio, signal detection, signal area estimation

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Kenta UMEBAYASHI, Kazuki MORIWAKI, Riki MIZUCHI, Hiroki IWATA, Samuli TIIRO, Janne J. LEHTOMÄKI, Miguel LÓPEZ-BENÍTEZ, Yasuo SUZUKI, "Simple Primary User Signal Area Estimation for Spectrum Measurement" in IEICE TRANSACTIONS on Communications, vol. E99-B, no. 2, pp. 523-532, February 2016, doi: 10.1587/transcom.2015EBP3240.
Abstract: This paper investigates a signal area (SA) estimation method for wideband and long time duration spectrum measurements for dynamic spectrum access. SA denotes the area (in time/frequency domain) occupied by the primary user's signal. The traditional approach, which utilizes only Fourier transform (FT) and energy detector (ED) for SA estimation, can achieve low complexity, but its estimation performance is not very high. Against this issue, we apply post-processing to improve the performance of the FT-based ED. Our proposed method, simple SA (S-SA) estimation, exploits the correlation of the spectrum states among the neighboring tiles and the fact that SA typically has a rectangular shape to estimate SA with high accuracy and relatively low complexity compared to a conventional method, contour tracing SA (CT-SA) estimation. Numerical results will show that the S-SA estimation method can achieve better detection performance. The SA estimation and processing can reduce the number of bits needed to store/transmit the observed information compared to the FT-based ED. Thus, in addition to improved detection performance it also compresses the data.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2015EBP3240/_p

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@ARTICLE{e99-b_2_523,
author={Kenta UMEBAYASHI, Kazuki MORIWAKI, Riki MIZUCHI, Hiroki IWATA, Samuli TIIRO, Janne J. LEHTOMÄKI, Miguel LÓPEZ-BENÍTEZ, Yasuo SUZUKI, },
journal={IEICE TRANSACTIONS on Communications},
title={Simple Primary User Signal Area Estimation for Spectrum Measurement},
year={2016},
volume={E99-B},
number={2},
pages={523-532},
abstract={This paper investigates a signal area (SA) estimation method for wideband and long time duration spectrum measurements for dynamic spectrum access. SA denotes the area (in time/frequency domain) occupied by the primary user's signal. The traditional approach, which utilizes only Fourier transform (FT) and energy detector (ED) for SA estimation, can achieve low complexity, but its estimation performance is not very high. Against this issue, we apply post-processing to improve the performance of the FT-based ED. Our proposed method, simple SA (S-SA) estimation, exploits the correlation of the spectrum states among the neighboring tiles and the fact that SA typically has a rectangular shape to estimate SA with high accuracy and relatively low complexity compared to a conventional method, contour tracing SA (CT-SA) estimation. Numerical results will show that the S-SA estimation method can achieve better detection performance. The SA estimation and processing can reduce the number of bits needed to store/transmit the observed information compared to the FT-based ED. Thus, in addition to improved detection performance it also compresses the data.},
keywords={},
doi={10.1587/transcom.2015EBP3240},
ISSN={1745-1345},
month={February},}

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TY - JOUR
TI - Simple Primary User Signal Area Estimation for Spectrum Measurement
T2 - IEICE TRANSACTIONS on Communications
SP - 523
EP - 532
AU - Kenta UMEBAYASHI
AU - Kazuki MORIWAKI
AU - Riki MIZUCHI
AU - Hiroki IWATA
AU - Samuli TIIRO
AU - Janne J. LEHTOMÄKI
AU - Miguel LÓPEZ-BENÍTEZ
AU - Yasuo SUZUKI
PY - 2016
DO - 10.1587/transcom.2015EBP3240
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E99-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2016
AB - This paper investigates a signal area (SA) estimation method for wideband and long time duration spectrum measurements for dynamic spectrum access. SA denotes the area (in time/frequency domain) occupied by the primary user's signal. The traditional approach, which utilizes only Fourier transform (FT) and energy detector (ED) for SA estimation, can achieve low complexity, but its estimation performance is not very high. Against this issue, we apply post-processing to improve the performance of the FT-based ED. Our proposed method, simple SA (S-SA) estimation, exploits the correlation of the spectrum states among the neighboring tiles and the fact that SA typically has a rectangular shape to estimate SA with high accuracy and relatively low complexity compared to a conventional method, contour tracing SA (CT-SA) estimation. Numerical results will show that the S-SA estimation method can achieve better detection performance. The SA estimation and processing can reduce the number of bits needed to store/transmit the observed information compared to the FT-based ED. Thus, in addition to improved detection performance it also compresses the data.
ER -