University of Oulu

M. Lopez-Benitez, A. Al-Tahmeesschi, K. Umebayashi and J. Lehtomaki, "PECAS: A Low-Cost Prototype for the Estimation of Channel Activity Statistics in Cognitive Radio," 2017 IEEE Wireless Communications and Networking Conference (WCNC), San Francisco, CA, 2017, pp. 1-6. doi: 10.1109/WCNC.2017.7925574

PECAS : a low-cost prototype for the estimation of channel activity statistics in cognitive radio

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Author: López-Benítez, Miguel1; Al-Tahmeesschi, Ahmed1; Umebayashi, Kenta2;
Organizations: 1Dept. of Electrical Engineering and Electronics, University of Liverpool, United Kingdom
2Graduate School of Engineering, Tokyo University of Agriculture and Technology, Japan
3Centre for Wireless Communications, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-09-04


Dynamic spectrum access/cognitive radio (DSA/CR) systems can benefit from an accurate knowledge of the primary channel ON/OFF activity statistics. This information can be readily obtained from spectrum sensing observations. However, given the practical limitations of spectrum sensing, an accurate and realistic evaluation of estimation methods is required before they can be implemented in real systems. This paper presents the design and implementation of a low-cost Prototype for the Estimation of Channel Activity Statistics (PECAS) in DSA/CR systems. An in-depth description of the hardware design (based on common and inexpensive components) and software implementation (based on free open source code) is provided along with an illustrative applicability example. The developed platform provides researchers and engineers with a low-cost fully functional tool for proof-of- concept, validation and optimisation of algorithms and designs.

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Series: IEEE Wireless Communications and Networking Conference
ISSN: 1525-3511
ISSN-E: 1558-2612
ISSN-L: 1525-3511
ISBN: 978-1-5090-4183-1
ISBN Print: 978-1-5090-4184-8
Pages: 1 - 6
DOI: 10.1109/WCNC.2017.7925574
OADOI: 10.1109/WCNC.2017.7925574
Host publication: 2017 IEEE Wireless Communications and Networking Conference (WCNC)
Conference: IEEE Wireless Communications and Networking Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
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