University of Oulu

K. Umebayashi, H. Iwata, J. J. Lehtomäki and M. López-Benítez, "Study on simple signal area estimation for efficient spectrum measurements," 2017 European Conference on Networks and Communications (EuCNC), Oulu, 2017, pp. 1-5. doi: 10.1109/EuCNC.2017.7980686

Study on simple signal area estimation for efficient spectrum measurements

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Author: Umebayashi, Kenta1; Iwata, Hiroki1; Lehtomäki, Janne J.2;
Organizations: 1Dept. of Electrical & Electronic Eng., Tokyo University of Agriculture and Technology, Japan
2Centre for Wireless Communications, University of Oulu, Finland
3Dept. of Electrical Eng. & Electronics, University of Liverpool, UK
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.5 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2018080933587
Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-08-09
Description:

Abstract

This paper investigates a signal area (SA) estimation method for spectrum measurements. The spectrum measurements is for estimating statistical information of spectrum usage and required latency is not very critical compared to spectrum sensing. SA denotes the area (in time/frequency domain) occupied by the primary user’s signal. The traditional approach, which utilizes Fourier transform (FT) and energy detector (ED) for SA estimation, can achieve low complexity, but its estimation performance is not very high. For this issue, we propose a post-processing, simple SA (S-SA) estimation. S-SA estimation exploits the correlation of the spectrum states among the neighboring tiles, i.e., time/frequency grids, 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 based SA (CT-SA) estimation. Numerical results will show that the S-SA estimation method can achieve better detection performance than CT-SA. Furthermore, it can reduce the computation time compared to the CT-SA estimation.

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ISBN: 978-1-5386-3873-6
ISBN Print: 978-1-5386-3874-3
Pages: 1 - 5
Host publication: 2017 European Conference on Networks and Communications (EuCNC), 12-15 June 2017, Oulu, Finland : 5G - European Roadmap, Global Impact
Conference: European Conference on Networks and Communications (EuCNC)
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This research and development work was supported by the MIC/SCOPE #165003006, and JSPS KAKENHI Grant Numbers JP15K06053, JP15KK0200
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