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Spectrum sensing for cognitive radio: State-of-the-art and recent advances
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.
Delft University of Technology, Faculty of Electrical Engineering, Mathematics and Computer Science.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-7599-4367
Princeton University, Department of Electrical Engineering.
2012 (English)In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 29, no 3, p. 101-116Article in journal (Refereed) Published
Abstract [en]

The ever-increasing demand for higher data rates in wireless communications in the face of limited or underutilized spectral resources has motivated the introduction of cognitive radio. Traditionally, licensed spectrum is allocated over relatively long time periods and is intended to be used only by licensees. Various measurements of spectrum utilization have shown substantial unused resources in frequency, time, and space [1], [2]. The concept behind cognitive radio is to exploit these underutilized spectral resources by reusing unused spectrum in an opportunistic manner [3], [4]. The phrase cognitive radio is usually attributed to Mitola [4], but the idea of using learning and sensing machines to probe the radio spectrum was envisioned several decades earlier (cf., [5]).

Place, publisher, year, edition, pages
IEEE Signal Processing Society, 2012. Vol. 29, no 3, p. 101-116
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-70151DOI: 10.1109/MSP.2012.2183771ISI: 000302717500013OAI: oai:DiVA.org:liu-70151DiVA, id: diva2:436028
Funder
Knut and Alice Wallenberg FoundationEU, FP7, Seventh Framework Programme, 216076ELLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsAvailable from: 2011-08-22 Created: 2011-08-22 Last updated: 2018-07-05

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