Skip navigation

Analysis of spectrum sensing characteristics for cognitive radio GFDM signal

Analysis of spectrum sensing characteristics for cognitive radio GFDM signal

Datta, Rohit, Arshad, Kamran and Fettweis, Gerhard (2012) Analysis of spectrum sensing characteristics for cognitive radio GFDM signal. In: 8th International Wireless Communications & Mobile Computing Conference Proceedings. Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ, USA, pp. 356-359. ISBN 9781457713781 (doi:10.1109/IWCMC.2012.6314230)

Full text not available from this repository.

Abstract

Spectrum sensing, in particular, detecting the presence of incumbent users is no longer required for the operation of White Space Devices (WSD). However, detection of other opportunistic users using the same spectrum is still an open challenge. Generalized Frequency Division Multiplexing (GFDM) is a recent multicarrier modulation technique with extremely low out-of-band radiation that makes it an attractive choice for the PHY layer of cognitive radio. In this paper, we consider the problem of spectrum sensing by detecting GFDM based opportunistic users. Despite the fact that there is no incumbent transmission, an opportunistic user first senses the channel to make sure that no other opportunistic user is using the channel. In this work, the sensing characteristics of the opportunistic GFDM signal are obtained and analyzed in detail.

Item Type: Conference Proceedings
Title of Proceedings: 8th International Wireless Communications & Mobile Computing Conference Proceedings
Additional Information: [1] This paper was first presented at the 8th International Wireless Communications & Mobile Computing Conference (IWCMC 2012) held from 27-31 August 2012 in Limassol, Cyprus. [2] ISBN: 9781457713781; 9781457713798
Uncontrolled Keywords: cognitive radio, frequency division multiplexing, modulation, cognitive radio GFDM signal, generalized frequency division multiplexing, multicarrier modulation, spectrum sensing, white space devices, cognitive radio equations, FCC, OFDM, probability, sensors, signal to noise ratio
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments: School of Engineering
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/11286

Actions (login required)

View Item View Item