Subsampling multi-standard receiver design for cognitive radio systems

doi:10.1017/CBO9781107295537.007

6 - Subsampling multi-standard receiver design for cognitive radio systems

from Part II - Adaptable receivers for white space technologies

Published online by Cambridge University Press: 05 October 2014

Abul Hasan ,

Mohamed Helaoui and

Fadhel M. Ghannouchi

Edited by

Nuno Borges Carvalho ,

Alessandro Cidronali and

Roberto Gómez-García

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Abul Hasan: Affiliation:
University of Calgary
Mohamed Helaoui: Affiliation:
University of Calgary
Fadhel M. Ghannouchi: Affiliation:
University of Calgary
Nuno Borges Carvalho: Affiliation:
Universidade de Aveiro, Portugal
Alessandro Cidronali: Affiliation:
Università degli Studi di Firenze, Italy
Roberto Gómez-García: Affiliation:
Universidad de Alcalá, Madrid

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Summary

Introduction

Cognitive radio (CR), as coined and defined by its first proponent, is the integration of model-based reasoning with software radio techniques [1]. An important aspect of cognitive radio is the efficient use of resources, especially the frequency spectrum, in a typical communication environment. Spectrum management requires spectrum sensing; the subsampling technique has been demonstrated to be an efficient approach for spectrum sensing for CR applications [2]. Cognitive radio technology, in the context of white space, has been discussed in Chapter 1 of this book. Situation awareness and learning capability are some of the features in a CR through which it becomes aware of the location, radio frequency (RF) environment, and updates its knowledge. Environmental information in a CR is typically provided by an in-built or network-enabled radio environment map (REM) through some learning process. A typical CR node consists of the RF front-end and configurable hardware and software platform. The current software-defined radio (SDR) platforms will facilitate the evolution of CR by adding cognitive and intelligent features to it with the help of cognitive engines (CE). Cognitive engines are essentially the software packages that facilitate the cognitive feature to an agile radio platform.

A software-defined radio (SDR) is a radio that can accommodate a significant range of RF bands and air interface modes through software [1]. An ideal SDR receiver will sample and digitize the RF signals as close as possible to the receiver antenna.

Type: Chapter
Information: White Space Communication Technologies , pp. 167 - 196

DOI: https://doi.org/10.1017/CBO9781107295537.007 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2014

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References

[1] J., Mitola, III, “Cognitive Radio,” Licentiate Thesis, KTH, Royal Institute of Technology, Stockholm, Sweden, September 1999.

[2] A., Kwan, S. A., Bassam, and F. M., Ghannouchi, “Sub-Sampling Technique for Spectrum Sensing in Cognitive Radio Systems,”2012 IEEE Radio and Wireless Symposium (RWS), pp. 347–350, January 2012.Google Scholar

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[9] Y.-R., Sun and S., Signell, “Effects of Noise and Jitter in Bandpass Sampling,”Journal of Analog Integrated Circuits and Signal Processing – Special Issue of Norchip03, vol. 42, pp. 85–97, January 2005.Google Scholar

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[11] R., Barrak, A., Ghazel, and F. M., Ghannouchi, “Optimized Multistandard RF Subsampling Receiver Architecture,”IEEE Transactions on Wireless Communications, vol. 8, no. 6, pp. 2901–2909, June 2009.Google Scholar

[12] J. R. G., Oya, F., Munoz, A., Torralba, A., Jurado, F. J., Marquez, and E., Lopez-Morillo, “Data Acquisition System Based on Subsampling Using Multiple Clocking Techniques,”IEEE Transactions on Instrumentation and Measurement, vol. 61, no. 8, pp. 2333–2335, August 2012.Google Scholar

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6 - Subsampling multi-standard receiver design for cognitive radio systems

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