Skip to main content

Multi-user Detection in Wireless Networks Using Decision Feedback Signal Cancellation

  • Conference paper
  • First Online:
Data Science and Big Data Analytics

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 16))

Abstract

Wireless Networks are becoming increasingly ubiquitous in computer networks due to lesser cost and maintenance overhead. While some wireless networks may operate in regulated spectrum, the majority operate in the unregulated (ISM) band. It is highly challenging for a base station or control stations to successfully detect signals from multiple users in the same frequency range which may occur due to comparatively small frequency reuse distance. This paper proposes a technique based on decision feedback equalization (DFE) (Tu et al Proceedings of 44th Asilomar conference signals [1]) and strongest signal cancellation for multi-user detection (MUD) in wireless networks. It has can be seen that by employing the proposed system, the Bit Error Rate (BER) for strong (Stojanovic M Proceedings 137 of MTS/IEEE OCEANS conference, Boston, MA, 2006 [2]), average and weak users converge thereby indicating the fact that all the signals are detected with equal accuracy (Li et al IEEE J Ocean Eng 33(2):198–209, 2008 [3]).

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

Institutional subscriptions

Similar content being viewed by others

References

  1. Tu K, Duman T, Proakis J, Stojanovic M. Cooperative MIMOOFDM communications: receiver design for Doppler-distorted under wateracoustic channels. In: Proceedings of 44th Asilomar conference signals

    Google Scholar 

  2. Stojanovic M (2006) Low complexity OFDM detector for underwater channels. In: Proceedings of MTS/IEEE OCEANS conference, Boston, MA, 18–21 Sept 2006

    Google Scholar 

  3. Li B, Zhou S, Stojanovic M, Freitag L, Willett P (2008) Multicarrier communication over underwater acoustic channels with non uniform Doppler shifts. IEEE J Ocean Eng 33(2):198–209

    Article  Google Scholar 

  4. Rahmatalla Y, Mohan S (2013) Peak to average power ratio in OFDM systems: a survey and taxonomy. IEEE

    Google Scholar 

  5. Otnes R, Eggen TH (2008) Underwater acoustic communications: long term test of Turbo equalization in shallow water. IEEE J Ocean Eng 33(3):321–334

    Article  Google Scholar 

  6. Huang J, Zhou S, Willett P (2008) Non binary LDPC coding for multicarrier underwater acoustic communication. IEEE J Sel Areas Commun 26(9):1684–1696

    Article  Google Scholar 

  7. Molisch AF. Wireless communication. Wiley, India

    Google Scholar 

  8. Leus G, van Walree P (2008) Multiband OFDM for covert acoustic communications. IEEE J Sel Areas Commun 26(9):1662–1673

    Article  Google Scholar 

  9. Kang T, Iltis R (2008) Iterative carrier frequency offset and channel estimation for underwater acoustic OFDM systems. IEEE J Sel Areas Commun 26(9):1650–1661

    Article  Google Scholar 

  10. Qu F, Yang L (2008) Basis expansion model for underwater acoustic channels? In: Proceedings of MTS/IEEE OCEANS conference, Quebec City, Canada, 15–18 Sept 2008

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Monika Sharma .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sharma, M., Prajapat, B. (2019). Multi-user Detection in Wireless Networks Using Decision Feedback Signal Cancellation. In: Mishra, D., Yang, XS., Unal, A. (eds) Data Science and Big Data Analytics. Lecture Notes on Data Engineering and Communications Technologies, vol 16. Springer, Singapore. https://doi.org/10.1007/978-981-10-7641-1_33

Download citation

Publish with us

Policies and ethics