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  

Publication
IEICE TRANSACTIONS on Communications   Vol.E99-B   No.2   pp.523-532
Publication Date: 2016/02/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2015EBP3240
Type of Manuscript: PAPER
Category: Terrestrial Wireless Communication/Broadcasting Technologies
Keyword: 
dynamic spectrum access,  smart spectrum access,  spectrum measurement,  cognitive radio,  signal detection,  signal area estimation,  

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Summary: 
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.