Skip to main content

Channel Estimation and Equalization in Wireless ATM

  • Chapter
  • 357 Accesses

Abstract

Wireless ATM has attracted considerable research attention in recent years because of its promise of delivering multimedia traffic ubiquitously to mobile users, and its seamless connection to the (land-line) broadband ISDN. However, originally designed for time-invariant and high-quality physical links (such as fiber-optic networks), implementations of ATM in a wireless environment face several challenges. Of particular significance is the ability to provide a reliable physical layer without excessive overhead. In this paper, we consider channel estimation and equalization problems in wireless ATM. Our goal is to eliminate or greatly reduce the transmission of training signals associated with channel equalization. The proposed approach, dubbed Protocol-Aided Channel Equalization (PACE), exploits simultaneously the structure of the ATM cell, the medium access control (MAC), and information-carrying data symbols.

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   129.00
Price excludes VAT (USA)
  • Available as 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
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. A. Acampora, “Wireless ATM: A Perspective on Issues and Prospects”, IEEE Personal Communications, pp. 8–17, August 1996.

    Google Scholar 

  2. E. Ayanoglu, Kai Y. Eng, and M. Karol, “Wireless ATM: Limits,Challenges, and Proposals”, IEEE Personal Communications, pp. 18–34, August 1996.

    Google Scholar 

  3. Q. Bao and L. Tong, “Protocol-Aided Channel Equalization in Wireless ATM”, submitted to IEEE J. Select. Areas. Commun.

    Google Scholar 

  4. F. Bauchot et. al., “MASCARA, a MAC Protocol for Wireless ATM”, In Proc. ACTS Mobile Summit, pp. 647–651, Granada, Spain, Nov. 1996.

    Google Scholar 

  5. D.C. Cox, “Wireless Personal Communications: What is it?”, IEEE Personal Communications, 2(l):22–35, Feb 1995.

    Google Scholar 

  6. K. Y. Eng et. al., “A Wireless Broadband Ad-Hoc ATM Local-Area Network”, ACM/Blatzer Wireless Networks J., 1(2): 161–174, 1995.

    Google Scholar 

  7. C.R. Johnson et. al, “Blind equalization using the constant modulus criterion: A review”, IEEE Proceedings, pp. 1927–1950, Oct 1998.

    Google Scholar 

  8. Dravopoulos et. al, “The Magic WAND”, Technical report, ACTS Project AC085, August 1998.

    Google Scholar 

  9. D. Falconer, “A system architecture for broadband milimeter wave access to an ATM Lan”, IEEE Personal Communications, (8):36–41, August 1996.

    Google Scholar 

  10. L. Fernandas, “Developing a system concept and technologies for mobile broad-band communications”, IEEE Personal Communications, 2(l):54–59, Feb 1995.

    Google Scholar 

  11. G. K. Kaleh, “Channel equalization for block transmission systems”, IEEE J. Sel. Areas Comms., 13(1):110–121, January 1995.

    Google Scholar 

  12. Y. Hua, “Fast maximum likelihood for blind identification of multiple FIR channels”, IEEE Trans. Signal Processing, SP-44(3):661–672, March 1996.

    Google Scholar 

  13. M. Karol, Z. Liu, and K. Eng, “Distributed Queuing Request Update Multiple Access (DQRUMA) for Wireless Packet (ATM) Networks”, In Proc of International Conference on Communications, pages 1224–1231, Seattle, USA, June 1995.

    Google Scholar 

  14. E. Moulines, P. Duhamel, J.F. Cardoso, and S. Mayrargue, “Subspace-Methods for the Blind Identification of Multichannel FIR Filters”, IEEE Trans. SP, SP-43(2):516–525, Feb. 1995.

    Google Scholar 

  15. P. Narasimhan and etal, “Design and Performance of Radio Access Protocols in WATMnet, a Prototype Wireless ATM Network”, In Proc. ICUPC97 Conf., San Diego, CA, Oct. 1997.

    Google Scholar 

  16. D. Petras, “Medium Access Control protocol for wireless, transparent ATM access”, pp. 79–84, Long Island, NY, Nov 1995.

    Google Scholar 

  17. J. Porter and etal, “The ORL Radio ATM system: Architecture and Implementation”, Technical report, Olivetti Research Limitted, January 1996.

    Google Scholar 

  18. J. Porter and A. Hopper, “An ATM based protocol for wireless LANs”, Technical Report 94.2, Olivetti Research Limitted, April 1994.

    Google Scholar 

  19. D. Raychaudhuri, “Wireless ATM Networks: Architecture, System Design and Prototyping” IEEE Personal Communications, pp. 42–49, August 1996.

    Google Scholar 

  20. D. Raychaudhuri and et. al, “WATMnet: A Prototype Wireless ATM System for Multimedia Personal Communication”, IEEE J. Selected Areas in Communications, 15(l):83–95, January 1997.

    Google Scholar 

  21. D. Raychaudhuri and N.D. Wilson, “ATM-Based Transport Architecture for Multiservices Wireless Personal Communication Networks”, IEEE J. Select. Areas Commun., 12:1401–1414, Oct. 1994.

    Article  Google Scholar 

  22. T.J. Rothenberg, “Identification in parametric models”, Econometrica, 39, 1971.

    Google Scholar 

  23. L. Tong and J. Bao, “Equalizations in Wireless ATM”, In Proc. 1997 Allerton Conference on Communications, Control, and Computing, pp. 64–73, Urbana, IL, Oct. 1997.

    Google Scholar 

  24. L. Tong and S. Perreau, “Multichannel blind channel estimation: From subspace to maximum likelihood methods”, IEEE Proceedings, 86(10):pp. 1951–1968, October 1998.

    Google Scholar 

  25. L. Tong, G. Xu, and T. Kailath, “Blind identification and equalization based on second-order statistics: A time domain approach”, IEEE Trans. Information Theory, 40(2):pp. 340–349, March 1994.

    Google Scholar 

  26. M. Toy, Development and Applications of ATM: Selected Readings, IEEE Press, New York, 1996.

    Google Scholar 

  27. J. Walrand and P. Varaiya, High-Performance Communication Networks, Morgan Kaufmann, San Francisco, 1996.

    Google Scholar 

  28. C. C. Watterson, J. T. Juroshek, and W. D. Bensema, “Experimental confirmation of an HF channel model”, IEEE Trans. Commun. Technology, 18(6):pp. 792–803, December 1970.

    Google Scholar 

  29. G. Xu, H. Liu, L. Tong, and T. Kailath, “A Least-Squares Approach to Blind ChannelIdentification”, IEEE Trans. Signal Processing, SP-43(12):pp. 2982–2993, December 1995.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Kluwer Academic Publishers

About this chapter

Cite this chapter

Tong, L. (2002). Channel Estimation and Equalization in Wireless ATM. In: Helfenstein, M., Moschytz, G.S. (eds) Circuits and Systems for Wireless Communications. Springer, Boston, MA. https://doi.org/10.1007/0-306-47303-8_28

Download citation

  • DOI: https://doi.org/10.1007/0-306-47303-8_28

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-7923-7722-1

  • Online ISBN: 978-0-306-47303-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics