University of Oulu

M. López-Benítez, A. Al-Tahmeesschi, D. K. Patel, J. Lehtomäki and K. Umebayashi, "Estimation of Primary Channel Activity Statistics in Cognitive Radio Based on Periodic Spectrum Sensing Observations," in IEEE Transactions on Wireless Communications, vol. 18, no. 2, pp. 983-996, Feb. 2019. doi: 10.1109/TWC.2018.2887258

Estimation of primary channel activity statistics in cognitive radio based on periodic spectrum sensing observations

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Author: López-Benítez, Miguel1,2; Al-Tahmeesschi, Ahmed1; Patel, Dhaval K.3;
Organizations: 1Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, U.K.
2ARIES Research Centre, Antonio de Nebrija University, 28040 Madrid, Spain
3School of Engineering and Applied Science, Ahmedabad University, Ahmedabad 380009, India
4Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
5Graduate School of Engineering, Tokyo University of Agriculture and Technology, Koganei 184-8588, Japan
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 9.6 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2019-04-29


Primary channel activity statistics (such as the minimum idle/busy periods of the channel, the moments or the underlying distributions) can be exploited by cognitive radio (CR) systems to adapt their operation and improve their performance. Such statistics can be directly estimated from periodic observations of the instantaneous idle/busy state of the primary channel (i.e., periodic spectrum sensing). However, the periodicity of such observations (i.e., the sensing period) imposes a fundamental limit on the time resolution in which idle/busy periods can be observed, and consequently on the accuracy of any subsequent estimated statistics. In this context, this paper provides a comprehensive analysis on the estimation of the primary activity statistics based on periodic channel state observations performed with a finite sensing period. In particular, this paper provides a comprehensive set of closed-form expressions for the estimated statistics as a function of the true primary activity statistics and the employed sensing period. These expressions can find a wide range of applications in the analysis, design, and simulation of CR systems. Moreover, several methods to minimize the estimation errors and improve the accuracy are proposed and validated with both simulations and hardware experiments.

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Series: IEEE transactions on wireless communications
ISSN: 1536-1276
ISSN-E: 1558-2248
ISSN-L: 1536-1276
Volume: 18
Issue: 2
Pages: 983 - 996
DOI: 10.1109/TWC.2018.2887258
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported by the British Council under UKIERI DST Thematic Partnerships 2016-17 under Grant DST-198/2017. The work of J. Lehtomäki was supported in part by the Academy of Finland 6Genesis Flagship under Grant 318927 and in part by Infotech Oulu. The work of K. Umebayashi was supported in part by the European Commission in the framework of the H2020-EUJ-02-2018 Project 5G-Enhance under Grant 815056, in part by the Ministry of Internal Affairs and Communications of Japan, and in part by the JSPS KAKENHI under Grant JP18K04124 and Grant JP18KK0109.
EU Grant Number: (815056) 5G-Enhance - 5G Enhanced Mobile Broadband Access Networks in Crowded Environments
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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