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Distributed Recursive Energy Detection
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. Department of Radio and Telecommunication Engineering, Tallinn University of Technology, Tallinn, Estonia .
Tallin University of Technology.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-3599-5584
2014 (English)In: Proceedings of Wireless Communications and Networking Conference (WCNC), 2014, IEEE Communications Society, 2014, 1242-1247 p.Conference paper, Published paper (Refereed)
Abstract [en]

Recent studies have shown that, while the available licensed radio spectrum becomes more occupied, the assigned spectrum is significantly underutilized. To alleviate the situation, cognitive radio (CR) technology has been proposed to provide an opportunistic access to the licensed spectrum areas. CR systems are able to serve the secondary users for detecting and utilizing so called spectrum holes by sensing and adapting to the environment without causing harmful effects or interference to the licensed primary users (PU). CR systems need to detect the presence of a primary user by continuously sensing the spectrum area of interest. Radiowave propagation effects like fading and shadowing often complicate sensing of spectrum holes because the PU signal can be weak in a particular area. Cooperative spectrum sensing is seen as a prospective solution to enhance the detection of PU signals. This paper studies distributed spectrum sensing in a cognitive radio context. We investigate a distributed energy detection scheme without using any fusion center. Due to reduced communication such a topology is more energy efficient. The PU signal is assumed to be in slow fading. A recursive distributed power estimation and detection scheme is proposed. The theoretical findings are verified through simulations.

Place, publisher, year, edition, pages
IEEE Communications Society, 2014. 1242-1247 p.
Keyword [en]
Cognitive radio, distributed estimation, distributed detection, adaptive networks, energy detection
National Category
Signal Processing
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-163723DOI: 10.1109/WCNC.2014.6952327Scopus ID: 2-s2.0-84912137659OAI: oai:DiVA.org:kth-163723DiVA: diva2:802191
Conference
Wireless Communications and Networking Conference (WCNC), 2014
Note

QC 20150414

Available from: 2015-04-11 Created: 2015-04-11 Last updated: 2015-04-14Bibliographically approved

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Bengtsson, Mats

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CiteExportLink to record
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  • apa
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Output format
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