Skip navigation

Mobility driven energy detection based spectrum sensing framework of a cognitive radio

Mobility driven energy detection based spectrum sensing framework of a cognitive radio

Arshad, Kamran and Moessner, Klaus (2010) Mobility driven energy detection based spectrum sensing framework of a cognitive radio. In: 2010 Second UK-India-IORC International Workshop on Cognitive Wireless Systems UKIWCWS 2010. Institution of Electrical and Electronics Engineers, Inc., Piscataway, NJ, USA. ISBN 9781424491476 (doi:10.1109/UKIWCWS.2010.5724224)

Full text not available from this repository.

Abstract

A cognitive radio opportunistically accesses spectrum bands under the constrain that it does not interfere with the licensed users. Cognitive radio performs spectrum sensing to find spectrum opportunities. Although a large number of spectrum sensing algorithms are available in literature; majority of them addressed static cognitive radios. In this paper, we study the energy detection based local spectrum sensing in the presence of user mobility. We show that CR mobility improves spectrum sensing performance by exploiting spatial diversity. We propose a framework for local spectrum sensing in which a cognitive radio do multiple spectrum measurements and makes a decision about the existence of the licensed user. An optimal fusion rule based on likelihood ratios is derived and based on test statistics a suitable detector and functional architecture of a cognitive radio is proposed. A closed form expression for the number of spectrum measurement cycles is also derived in this paper under given performance constraints.

Item Type: Conference Proceedings
Title of Proceedings: 2010 Second UK-India-IORC International Workshop on Cognitive Wireless Systems UKIWCWS 2010
Additional Information: [1] This paper was first presented at the 2010 Second UK-India-IORC International Workshop on Cognitive Wireless Systems (UKIWCWS 2010) held from 13-14 December 2010 in New Delhi, India.
Uncontrolled Keywords: cognitive radio, diversity reception, mobility management (mobile radio), radio spectrum management, energy detection, licensed users, likelihood ratios, spatial diversity, spectrum sensing framework, user mobility
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments: School of Engineering
School of Engineering > Mobile & Wireless Communications Research Laboratory
Related URLs:
Last Modified: 14 Oct 2016 09:27
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/11310

Actions (login required)

View Item View Item