Skip to main content

Energy Detection Based Spectrum Sensing for AWGN and MIMO Wireless Channel

  • Conference paper
  • First Online:
  • 1447 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 695))

Abstract

The spectrum-sensing aspect has gained importance with the advent of cognitive radio and 4G cellular system with multi-input multi-output (MIMO). It is one of the most demanding issues in both cognitive radio and 4G. Different facets of spectrum-sensing methods are studied from a cognitive radio and MIMO systems perspective. The important task of 4G system is to provide user demanding bandwidth by detecting the existence of the user in order to allocate the unused subcarrier channels to the required users. Hence, spectrum sensing is a crucial part of the 4G and 5G cellular systems. In this paper, a new spectrum-sensing method based on energy detection is proposed for Additive White Gaussian Noise (AWGN) and MIMO wireless channels. Implementation of the proposed probability of detecting a channel in use indicates that for the same values of false alarm (0.096) and SNR (5 dB), the probability of detection observed to be better in case of the MIMO (0.9763) wireless channel when compared to non-fading AWGN (0.9215) channel.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Federal Communication Commission, Spectrum Policy Task Force Report, ET Docket No. 02–155, Nov 2002

    Google Scholar 

  2. Wang, J., Ghosh, M., Challapali, K.: Emerging cognitive radio applications: a survey. IEEE Commun. Mag. 49(3), 74–81 (2011)

    Article  Google Scholar 

  3. Amich, A., Imran, M.A., Tafazolli, R., Cheraghi, P.: Accurate and efficient algorithms for cognitive radio modeling applications under the i.n.i.d. paradigm. IEEE Trans. Veh. Technol. 64(5), 1750–1765 (2015)

    Article  Google Scholar 

  4. Digham, F.F., Alouini, M.S., Simon, M.K.: On the energy detection of unknown signals over fading channels. IEEE Trans. Commun. 55(1), 21–24 (2007)

    Article  Google Scholar 

  5. Yucek, T., Arslan, H.: A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Commun. Surv. Tutor. 11, 116–130 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Babji Prasad Chapa .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Chapa, B.P., Dannana, S., Gottapu, S.R. (2018). Energy Detection Based Spectrum Sensing for AWGN and MIMO Wireless Channel. In: Bhateja, V., Coello Coello, C., Satapathy, S., Pattnaik, P. (eds) Intelligent Engineering Informatics. Advances in Intelligent Systems and Computing, vol 695. Springer, Singapore. https://doi.org/10.1007/978-981-10-7566-7_48

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-7566-7_48

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7565-0

  • Online ISBN: 978-981-10-7566-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics