Wireless Personal Communications

, Volume 47, Issue 1, pp 101–112 | Cite as

Methods for Compression of Feedback in Adaptive Multi-carrier 4G Schemes

  • Víctor P. Gil Jiménez
  • Thomas Eriksson
  • Ana García Armada
  • M. Julia Fernández-Getino García
  • Tony Ottosson
  • Arne Svensson
Article

Abstract

In this paper, several algorithms for compressing the feedback of channel quality information are presented and analyzed. These algorithms are developed for a proposed adaptive modulation scheme for future multi-carrier 4G mobile systems. These strategies compress the feedback data and, used together with opportunistic scheduling, drastically reduce the feedback data rate. Thus the adaptive modulation schemes become more suitable and efficient to be implemented in future mobile systems, increasing data throughput and overall system performance.

Keywords

OFDMA Huffman coding Compression of feedback data 

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References

  1. 1.
    Larsson E.G. (2004). On the combination of spatial diversity and multiuser diversity. IEEE Comunications Letters, 8(8): 517–519CrossRefMathSciNetGoogle Scholar
  2. 2.
    Qui X., Chawla K. (1999). On the performance of adaptive modulation in cellular systems. IEEE transactions on Communications, 47(6): 884–894CrossRefGoogle Scholar
  3. 3.
    Dahlman, E., Frenger, P., Guey, J. -C., Klang, G., Ludwig, R., Meyer, M., Wiberg, N., & Zangi, K. (2005). A framework for future radio access. In Proceedings of IEEE 61st Vehicular Technology Conference. VTC Spring’05. Paving the path for Wireless Future., vol. 1, 30–31 May. 1 June 2005.Google Scholar
  4. 4.
    Stenard, M., Svensson, T., & Klang, G. (2006). WINNER MAC for Cellular Transmission, In Proceedings of IST Mobile Summit, Mikonos, Grece, June 2006.Google Scholar
  5. 5.
    Knopp R., & Humblet, P. (1995).Information capacity and power control in single-cell multiuser communications. In Proceedings IEEE International Conference on Communications (ICC), vol. 1, Seatle, June 1995, pp. 331–335.Google Scholar
  6. 6.
    Wang, W., Ottosson, T., Sternad, M. anders Ahlen, & Svensson, A. (2003). Impact of multiuser diversity and channel variability on adaptive OFDM. In Proceedings of IEEE Vehicular Technology Conference (VTC Fall), vol. 1, September 2003, pp. 547 – 551.Google Scholar
  7. 7.
    Gesbert D., & Alouini, M.-S. (2004). How much feedback is multiuser diversity really worth?. In Proceedings of IEEE International Conference on Communications (ICC), vol. 1, June 2004, pp. 234–238.Google Scholar
  8. 8.
    Eriksson, T., & Ottosson, T. (2007). Compression of Feedback for adaptive modulation and scheduling,” 2007, to be published in Proceedings of the IEEE.Google Scholar
  9. 9.
    Johansson, M. (2004). Diversity-enhanced equal access - considerable throughput gains with 1-bit feedback. In Proceedings of IEEE Workshop on Signal Processing Advances in Wireless Communications (WSPAWC), Lisboa. Portugal, 2004.Google Scholar
  10. 10.
    Floren, F., Edfors, O., & Molin, B. A. (2003). The effect of feedback quantization on the throughput of a multiuser diversity scheme. In Proceedings of IEEE Global Conference on Communications (GLOBECOM), 2003.Google Scholar
  11. 11.
    Lestable T., & Bartelli, M. (2002) LZW adaptive bit loading,” In Proceedings of International Symposium on Advances Wireless Communications (ISAWC), 2002.Google Scholar
  12. 12.
    Jiménez V. P. G., & Armada, A. G. (2006). An Adaptive MIMO OFDM system: Design and performance evaluation,” In Proceedings of IEEE International Symposium on Wireless Communication Systems, September 2006.Google Scholar
  13. 13.
    Nguyen, H., & Lestable, T. (2004). Compression of bit loading power vectors for adaptive multi- carrier systems. In Proceedings of 47th IEEE International Midwest Symposium on Circuits and Systems (IMSCS), vol. 3, 2004, pp. 243 – 246.Google Scholar
  14. 14.
    Hassel, V., Alouini, M.-S., Øien, G. E., & Gesbert, D. (2006). Rate-optimal multiuser scheduling with reduced feedback load and analysis of delay effects. EURASIP Journal on Wireless Communications and Networking, pp. Article ID 36 424, 7 pages, 2006, doi: 10.1155/WCN/2006/36424.
  15. 15.
    Svedman, P., Wilson, S. K. L. J. C. Jr, & Ottersen, B. (2004). A simplified oportunistic feedback and scheduling scheme for OFDM. In Proceedings of IEEE Vehicular Technology Conference (VTC Spring), vol. 1, 2004, pp. 1878–1882.Google Scholar
  16. 16.
    Duel-Hallen A., Hallen H., Yang T.-S. (2006). Long range prediction and reduced feedback for mobile radio adaptive ofdm systems. IEEE Transactions on Wireless Communications, 5(10): 2723 – 2733CrossRefGoogle Scholar
  17. 17.
    Guidelines for Evaluation of Radio Transmission Technologies for IMT-2000, Recommendation ITU-R M.1225, Tech. Rep., 2000.Google Scholar

Copyright information

© Springer Science+Business Media, LLC. 2007

Authors and Affiliations

  • Víctor P. Gil Jiménez
    • 1
  • Thomas Eriksson
    • 2
  • Ana García Armada
    • 1
  • M. Julia Fernández-Getino García
    • 1
  • Tony Ottosson
    • 2
  • Arne Svensson
    • 2
  1. 1.Department of Signal Theory and CommunicationsUniversity Carlos III de MadridMadridSpain
  2. 2.Department of Signal and SystemsChalmers University of TechnologyGoteborgSweden

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