University of Oulu

A. Al-Tahmeesschi, M. López-Benítez, D. K. Patel, J. Lehtomäki and K. Umebayashi, "On the Sample Size for the Estimation of Primary Activity Statistics Based on Spectrum Sensing," in IEEE Transactions on Cognitive Communications and Networking, vol. 5, no. 1, pp. 59-72, March 2019. doi: 10.1109/TCCN.2018.2874456

On the sample size for the estimation of primary activity statistics based on spectrum sensing

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Author: Al-Tahmeesschi, Ahmed1; López-Benítez, Miguel1; Patel, Dhaval K.2;
Organizations: 1Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, U.K.
2School of Engineering and Applied Science, Ahmedabad University, Ahmedabad 380009, India
3Centre for Wireless Communications, University of Oulu, FI-90014 Oulu, Finland
4Graduate 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, 9.3 MB)
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Language: English
Published: IEEE Communications Society, 2019
Publish Date: 2019-05-29


Dynamic spectrum access (DSA)/cognitive radio (CR) systems can benefit from the knowledge of the activity statistics of primary channels, which can use this information to intelligently adapt their spectrum use to the operating environment. Particularly relevant statistics are the minimum, mean and variance of the on/off period durations, the channel duty cycle and the governing distribution. However, most DSA/CR systems have limited resources (power consumption, memory capacity, computational capability) and an important question arises of how many on/off period observations are required (i.e., the number of observed on/off periods, referred to as observation sample size in this paper) to estimate the statistics of the primary channel to a certain desired level of accuracy. In this paper, closed-form expressions to link such sample size with the accuracy of the observed primary activity statistics are proposed. A comprehensive theoretical analysis is performed on the required number of observed on/off periods to obtain a specific estimation accuracy. The accuracy of the obtained analytical results is validated and corroborated with both simulation and experimental results, showing a perfect agreement. The analytical results derived in this paper can be used in the design and dimensioning of DSA/CR systems in which the spectrum awareness function relies on spectrum sensing.

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Series: IEEE transactions on cognitive communications and networking
ISSN: 2372-2045
ISSN-E: 2332-7731
ISSN-L: 2372-2045
Volume: 5
Issue: 1
Pages: 59 - 72
DOI: 10.1109/TCCN.2018.2874456
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: M. López-Benítez and D. K. Patel would like to thank the financial support received from UKIERI under the DST Thematic Partnerships 2016-17 (grant ref. DST-198/2017). The work by J. Lehtomäki was supported in part by the Academy of Finland 6Genesis Flagship (grant no. 318927) and in part by Infotech Oulu. K. Umebayashi would like to thank the support received from the JSPS KAKENHI Grant Number 18K04124.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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