Scheduling and Feedback Reduction in Coordinated Networks

  • 투고 : 2010.11.30
  • 발행 : 2011.08.31

초록

Base station coordination has received much attention as a means to reduce the inter-cell interference in cellular networks. However, this interference reducing ability comes at the expense of increased feedback, backhaul load and computational complexity. The degree of coordination is therefore limited in practice. In this paper, we explore the trade-off between capacity and feedback load in a cellular network with coordination clusters. Our main interest lies in a scenario with multiple fading users in each cell. The results indicate that a large fraction of the total gain can be achieved by a significant reduction in feedback. We also find an approximate expression for the distribution of the instantaneous signal to interference-plus-noise ratio (SINR) and propose a new effective scheduling algorithm.

키워드

참고문헌

  1. M. K. Karakayali, G. J. Foschini, and R. A. Valenzuela, "Network coordination for spectrally efficient communications in cellular systems," IEEE Wireless Commun., vol. 13, no. 4, pp. 56-61, Aug. 2006. https://doi.org/10.1109/MWC.2006.1678166
  2. H. Zhang and H. Dai, "Cochannel interference mitigation and cooperative processing in downlink multicell multiuser MIMO networks," EUR. J. Wireless Commun. Netw., Feb. 2004.
  3. H. Huang, M. Trivellato, A. Hottinen, M. Shafi, P. J. Smith, and R. A. Valenzuela, "Increasing downlink cellular throughput with limited network MIMO coordination," IEEE Trans. Wireless Commun., vol. 8, no. 6, pp. 2983-2989, 2009. https://doi.org/10.1109/TWC.2009.080179
  4. J. Zhang, R. Chen, J. G. Andrews, and R. W. Heath, "Coordinated multicell MIMO systems with cellular block diagonalization," in Proc. ACSSC, Pacific Grove, USA, Nov. 2007.
  5. S. Venkatesan, "Coordinating base stations for greater uplink spectral efficiency in a cellular network," in Proc. IEEE PIMRC, Athens, Greece, Sept. 2007.
  6. A. Papadogiannis, H. J. Bang, D. Gesbert, and E. Hardouin, "Downlink overhead reduction for multi-cell cooperative processing enabled wireless networks," in Proc. IEEE PIMRC, Cannes, France, Sept. 2008.
  7. H. J. Bang, "Multicell zero-forcing beamforming and multiuser scheduling," in Proc. European Wireless, Lucca, Italy, Apr. 2010.
  8. D. Love, R. Heath, V. Lau, D. Gesbert, B. Rao, and M. Andrews, "An overview of limited feedback in wireless communication systems," IEEE J. Select. Areas Commun., vol. 26, pp. 1341-1365, 2008. https://doi.org/10.1109/JSAC.2008.081002
  9. A. Wiesel, Y. C. Eldar, and S. Shamai, "Zero-forcing precoding and generalized inverses," IEEE Trans. Signal Process., vol. 56, no. 9, pp. 4409-4418, Sept. 2008. https://doi.org/10.1109/TSP.2008.924638
  10. J. E. Angus, "The probability integral transform and related results," SIAM Review, vol. 36, 1994. [Online]. Available: http://www.jstor.org/ stable/2132726
  11. D. Park, H. Seo, H. Kwon, and B. G. Lee, "Wireless packet scheduling based on the cumulative distribution function of user transmission rates," IEEE Trans. Commun., vol. 53, no. 11, pp. 1919-1929, 2005. https://doi.org/10.1109/TCOMM.2005.858675
  12. H. A. David and H. N. Nagaraja, Order Statistics, 3rd ed. New Jersey: John Wiley and Sons, 2003.
  13. D. Gesbert and M. Alouini, "How much feedback is multi-user diversity really worth?" in Proc. IEEE ICC, Paris, France, June 2004.