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Opportunistic spectrum access for cognitive radio

Opportunistic spectrum access for cognitive radio

Arshad, Kamran (2008) Opportunistic spectrum access for cognitive radio. In: Seminar on Opportunistic Spectrum Access for Cognitive Radio, 30 Dec 2008, GIFT University, Gujranwala, Pakistan. (Unpublished)

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Abstract

Dr Arshad discussed that recent measurements from many regulators indicate that large portions of the assigned spectrum remain unused for a significant portion of time at various locations. This underutilization of spectrum on one hand and spectrum demand for emerging technology on the other hand has had profound impact on wireless communication research community. Dynamic Spectrum Access (DSA) or Opportunistic Spectrum Access (OSA) is proposed to
solve the problem of spectrum scarcity and inefficient use of spectrum. In OSA, secondary users are allowed to get access to spectrum bands which are allocated to primary users when they are not using it without creating any harmful interference. Cognitive Radio (CR) is the enabling technology that provides the capability to use spectrum in an opportunistic manner. One of the main challenges of using Cognitive Radio for OSA is accurate and reliable spectrum sensing.

Item Type: Conference or Conference Paper (Other)
Additional Information: [1] Guest speaker at Seminar on Opportunistic Spectrum Access for Cognitive Radio, held 30 December 2008, GIFT University, Gujranwala, Pakistan.
Uncontrolled Keywords: cognitive radio
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments: School of Engineering
School of Engineering > Department of Computer & Communications Engineering
School of Engineering > Department of Electrical, Electronic and Computer Engineering
School of Engineering > Department of Engineering Systems
School of Engineering > Mobile & Wireless Communications Research Laboratory
Related URLs:
Last Modified: 14 Oct 2016 09:30
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/12923

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