research-article

A software-defined radio based cognitive radio demonstration over FM band

Authors:

Zhiqiang WuAuthors Info & Claims

IWCMC '09: Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly

Pages 495 - 499

https://doi.org/10.1145/1582379.1582487

Published: 21 June 2009 Publication History

Abstract

In this paper, we present a software defined radio (SDR) based cognitive radio implementation and demonstration. Using GNU Radio and USRP SDR boards, we implement and demonstrate a cognitive radio that detects spectrum holes in the FM band and exploits the available spectrum holes to transmit digital and analog data without interfering the existing FM transmission. Moreover, we demonstrate that when a primary user's transmission starts over the original spectrum holes, the cognitive radio automatically adapts its transmission to avoid interference to the newly coming primary user. Additionally, we have implemented and demonstrated a frequency hopping over multiple spectrum holes to support multiple secondary users with minimum interference to each other.

References

[1]

"Software-Defined Radio: a Technology Overview." Broadcast Papers. Aug. 2002. Wipro Technologies. Feb. 2008

[2]

Blossom, Eric. "Software Radio." Comsec. Blossom Research, LLC. Feb. 2008 http://www.comsec.com/

[3]

Boyd, Susan, and Weber Shandwick. SDR Forum. Oftware Defined Radio Forum. Feb. 2008 http://www.sdrforum.org/

[4]

Alberto. "SDRadio: a Software Defined Radio." The Weak Signal Pages of Alberto. Feb. 2008 http://www.sdradio.eu/

[5]

Patton, Lee K. A GNU Radio Based Software-Defined Radar. Wright State University. 2007. 3--7

[6]

Python Programming Language - Official Website. Dec. 2007 http://python.org/

[7]

Shen, Dawei. "Tutorial 4: the USRP Board." Introduction. SDR Documentation. Notre Dame, IN: University of Notre Dame, 2005. Oct. 2007 http://www.nd.edu/jnl/sdr/docs/

[8]

Ettus, Matt. "USRP Datasheet." Ettus Research LLC. Oct. 2007 http://www.ettus.com/

[9]

O'shea, Timothy J., T C. Clancy, and Hani J. Ebeid. PRACTICAL SIGNAL DETECTION AND CLASSIFICATION IN GNU RADIO. IEEE. 2007

[10]

Unknown. Frequency Modulation. Feb. 2008 http://webtools.delmarlearning.com/

[11]

Weisstein, Eric W. "Fourier Transform." From MathWorld-A Wolfram Web Resource. http://mathworld.wolfram.com/FourierTransform.html, March 2008

[12]

"Fourier Analysis and FFT." Astro-Med Inc. Jan. 2008 http://www.astro-med.com/

[13]

Smith, Julius O. Spectral Audio Signal Processing, March 2007 Draft, http://ccrma.stanford.edu/jos/sasp/, online book, March 2008

[14]

Reed, J H. Software Radio: a Modern Approach to Radio Engineering. Prentice Hall, 2002

Digital Library

[15]

Isom?ki, Petri, and Nastooh Avessta. An Overview of Software Defined. Turu Center for Computer Science, 2004. 11--16

[16]

Ettus, Matt. "USRP Datasheet." Ettus Research LLC. Oct. 2007 http://www.ettus.com/

Cited By

Tasin SIslam MIslam AZubaer M(2022)Implementation of GSM and LTE Re-Configurable Cellular System Using USRP B2002022 IEEE Region 10 Symposium (TENSYMP)10.1109/TENSYMP54529.2022.9864506(1-6)Online publication date: 1-Jul-2022
https://doi.org/10.1109/TENSYMP54529.2022.9864506
Rehman SSowerby KCoghill C(2014)Radio‐frequency fingerprinting for mitigating primary user emulation attack in low‐end cognitive radiosIET Communications10.1049/iet-com.2013.05688:8(1274-1284)Online publication date: May-2014
https://doi.org/10.1049/iet-com.2013.0568
Chen Z(2013)Channel State Prediction in Cognitive RadioCognitive Radio and Interference Management10.4018/978-1-4666-2005-6.ch015(273-288)Online publication date: 2013
https://doi.org/10.4018/978-1-4666-2005-6.ch015
Show More Cited By

Index Terms

A software-defined radio based cognitive radio demonstration over FM band
1. Information systems
  1. Information systems applications

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Published In

cover image ACM Conferences

IWCMC '09: Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly

June 2009

1561 pages

ISBN:9781605585697

DOI:10.1145/1582379

General Chairs:
Mohsen Guizani
Kuwait Univ. and Western Michigan University
,
Peter Mueller
IBM, Switzerland
,
Klaus-Peter Fähnrich
University of Leipzig, Germany
,
Program Chairs:
Athanasios (Thanos) Vasilakos
University of Western Macedonia, Greece
,
Yan Zhang
Simula Research Laboratory, Norway
,
Jun Zhang
University of Ottawa, Canada

Copyright © 2009 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 21 June 2009

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National Science Foundation

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IWCMC '09

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ACM

IWCMC '09: 2009 International Wireless Communications and Mobile Computing Conference

June 21 - 24, 2009

Leipzig, Germany

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Cited By

Tasin SIslam MIslam AZubaer M(2022)Implementation of GSM and LTE Re-Configurable Cellular System Using USRP B2002022 IEEE Region 10 Symposium (TENSYMP)10.1109/TENSYMP54529.2022.9864506(1-6)Online publication date: 1-Jul-2022
https://doi.org/10.1109/TENSYMP54529.2022.9864506
Rehman SSowerby KCoghill C(2014)Radio‐frequency fingerprinting for mitigating primary user emulation attack in low‐end cognitive radiosIET Communications10.1049/iet-com.2013.05688:8(1274-1284)Online publication date: May-2014
https://doi.org/10.1049/iet-com.2013.0568
Chen Z(2013)Channel State Prediction in Cognitive RadioCognitive Radio and Interference Management10.4018/978-1-4666-2005-6.ch015(273-288)Online publication date: 2013
https://doi.org/10.4018/978-1-4666-2005-6.ch015
Chen ZGuo NHu ZQiu R(2011)Experimental Validation of Channel State Prediction Considering Delays in Practical Cognitive RadioIEEE Transactions on Vehicular Technology10.1109/TVT.2011.211605160:4(1314-1325)Online publication date: May-2011
https://doi.org/10.1109/TVT.2011.2116051
Chen ZGuo NHu ZQiu R(2011)Channel state prediction in cognitive radio, part I: Response delays in practical hardware platforms2011 Proceedings of IEEE Southeastcon10.1109/SECON.2011.5752903(45-49)Online publication date: Mar-2011
https://doi.org/10.1109/SECON.2011.5752903
Chen ZGuo NQiu R(2010)Demonstration of real-time spectrum sensing for cognitive radio2010 - MILCOM 2010 MILITARY COMMUNICATIONS CONFERENCE10.1109/MILCOM.2010.5680333(323-328)Online publication date: Oct-2010
https://doi.org/10.1109/MILCOM.2010.5680333
Chen ZGuo NQiu R(2010)Demonstration of real-time spectrum sensing for cognitive radioIEEE Communications Letters10.1109/LCOMM.2010.082610.10072514:10(915-917)Online publication date: 1-Oct-2010
https://dl.acm.org/doi/10.1109/LCOMM.2010.082610.100725

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