skip to main content
10.1145/2851613.2851824acmconferencesArticle/Chapter ViewAbstractPublication PagessacConference Proceedingsconference-collections
research-article
Public Access

Experimental approach: two-stage spectrum sensing using gnu radio and usrp to detect primary user's signal

Published: 04 April 2016 Publication History

Abstract

Spectrum sensing plays a critical role in improving spectrum utilization for cognitive radio networks. The majority of existing sensing approaches aim to detect the existence of a signal on a busy channel without differentiating whether a signal originates from a primary user or not. In this paper, we attempt to solve this challenge by an experimental approach using GNU radio and Universal Software Radio Peripheral (USRP) board. A two-stage sensing strategy is proposed to detect channel states. The first stage detects whether a channel is busy or idle by observing both the energy level and bandwidth. Once the channel is busy, we further determine the channel is occupied by a Primary User (PU) and an Secondary User (SU). From experiments, we observe that a receiver cannot successfully receive a signal if it implements different demodulation schemes with a transmitter. For example, a Binary Phase Shift Keying (BPSK) demodulator cannot detect a Quadrature Phase Shift Keying (QPSK) signal transmitted by a transmitter. Motivated by this observation, we propose that at the second stage, PUs and SUs are negotiated to conduct different modulations. Then SUs are equipped with two demodulators that will be able to demodulate both the PUs signal and the SUs signal. Given that SU and PU perform distinct modulations, once the PU comes to its licensed channel, the SU communicating on that channel will recognize it and withdraw from the channel immediately. Extensive experiments using GNU radio and USRP boards are carried out under various scenarios to evaluate the effectiveness of the proposed approach.

References

[1]
F. Ge, C. J. Chiang, Y. M. Gottlieb, and R. Chadha. Gnu radio-based digital communications: Computational analysis of a gmsk transceiver. In Global Telecommunications Conference (GLOBECOM 2011), IEEE, pages 1--6.
[2]
M. KIM and J.-i. TAKADA. Development of spectrum sensing system with gnu radio and usrp to detect emergency radios. In IEICE Technical Report, 2009.
[3]
A. Mate, K.-H. Lee, and I.-T. Lu. Spectrum sensing based on time covariance matrix using gnu radio and usrp for cognitive radio. In Systems, Applications and Technology Conference (LISAT), pages 1--6, 2011.
[4]
G. Radio. The gnu software radio. Available from World Wide Web: https://gnuradio.org, 2007.
[5]
A. Sapello, A. Sethi, C. Serban, C. J. Chiang, and K. Moeltner. A software defined radio modeling framework for enabling cognitive applications. Analog Integrated Circuits and Signal Processing, 78(3):543--556, 2014.
[6]
D. C. Tucker and G. A. Tagliarini. Prototyping with gnu radio and the usrp-where to begin. In Southeastcon, 2009. SOUTHEASTCON'09. IEEE, pages 50--54.
[7]
Y. Zhao, J. Pradhan, J. Huang, Y. Luo, and L. Pu. Joint energy-and-bandwidth spectrum sensing with gnu radio and usrp. ACM SIGAPP Applied Computing Review, 14(4):40--49, 2015.
[8]
Y. Zhao, J. Pradhan, J. Huang, and H. Sun. Experimental approach: energy-and-bandwidth spectrum sensing using gnu radio and usrp. In Proceedings of the 2014 Conference on Research in Adaptive and Convergent Systems, pages 174--179.
[9]
Y. Zhao, M. Song, C. Xin, and M. Wadhwa. Spectrum sensing based on three-state model to accomplish all-level fairness for co-existing multiple cognitive radio networks. In INFOCOM, 2012 Proceedings IEEE, pages 1782--1790.

Cited By

View all
  • (2018)A Quantization-Based Multibit Data Fusion Scheme for Cooperative Spectrum Sensing in Cognitive Radio NetworksSensors10.3390/s1802047318:2(473)Online publication date: 6-Feb-2018
  • (2017)On Transform Domain Communication Systems under Spectrum Sensing Mismatch: A Deterministic AnalysisSensors10.3390/s1707159417:7(1594)Online publication date: 8-Jul-2017
  • (2017)Secrecy Performance Analysis of Cognitive Sensor Radio Networks with an EH-Based EavesdropperSensors10.3390/s1705102617:5(1026)Online publication date: 4-May-2017
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
SAC '16: Proceedings of the 31st Annual ACM Symposium on Applied Computing
April 2016
2360 pages
ISBN:9781450337397
DOI:10.1145/2851613
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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 April 2016

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. GNU radio
  2. USRP board
  3. experimental approach
  4. spectrum sensing

Qualifiers

  • Research-article

Funding Sources

Conference

SAC 2016
Sponsor:
SAC 2016: Symposium on Applied Computing
April 4 - 8, 2016
Pisa, Italy

Acceptance Rates

SAC '16 Paper Acceptance Rate 252 of 1,047 submissions, 24%;
Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

Upcoming Conference

SAC '25
The 40th ACM/SIGAPP Symposium on Applied Computing
March 31 - April 4, 2025
Catania , Italy

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)111
  • Downloads (Last 6 weeks)7
Reflects downloads up to 17 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2018)A Quantization-Based Multibit Data Fusion Scheme for Cooperative Spectrum Sensing in Cognitive Radio NetworksSensors10.3390/s1802047318:2(473)Online publication date: 6-Feb-2018
  • (2017)On Transform Domain Communication Systems under Spectrum Sensing Mismatch: A Deterministic AnalysisSensors10.3390/s1707159417:7(1594)Online publication date: 8-Jul-2017
  • (2017)Secrecy Performance Analysis of Cognitive Sensor Radio Networks with an EH-Based EavesdropperSensors10.3390/s1705102617:5(1026)Online publication date: 4-May-2017
  • (2017)Opportunistic Capacity-Based Resource Allocation for Chunk-Based Multi-Carrier Cognitive Radio Sensor NetworksSensors10.3390/s1701017517:1(175)Online publication date: 18-Jan-2017

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media