DOI QR코드

DOI QR Code

Effects of Channel Aging in Massive MIMO Systems

  • Truong, Kien T. (MIMO Wireless Inc.) ;
  • Heath, Robert W. Jr. (University of Texas at Austin)
  • Received : 2013.02.28
  • Published : 2013.08.31

Abstract

Multiple-input multiple-output (MIMO) communication may provide high spectral efficiency through the deployment of a very large number of antenna elements at the base stations. The gains from massive MIMO communication come from the use of multi-user MIMO on the uplink and downlink, but with a large excess of antennas at the base station compared to the number of served users. Initial work on massive MIMO did not fully address several practical issues associated with its deployment. This paper considers the impact of channel aging on the performance of massive MIMO systems. The effects of channel variation are characterized as a function of different system parameters assuming a simple model for the channel time variations at the transmitter. Channel prediction is proposed to overcome channel aging effects. The analytical results on aging show how capacity is lost due to time variation in the channel. Numerical results in a multicell network show that massive MIMO works even with some channel variation and that channel prediction could partially overcome channel aging effects.

Keywords

Acknowledgement

Supported by : Huawei Technologies

References

  1. T. L. Marzetta, "Noncooperative cellular wireless with unlimited numbers of base station antennas" IEEE Trans. Wireless Commun., vol. 9, no. 11, pp. 3590-3600, Nov. 2010. https://doi.org/10.1109/TWC.2010.092810.091092
  2. F. Rusek, D. Persson, B. K. Lau, E. G. Larsson, T. L. Marzetta, O. Edfors, and F. Tufvesson, "Scaling up MIMO: Opportunities and challenges with very large arrays," IEEE Signal Process. Mag., vol. 30, no. 1, pp. 40-60, Jan. 2013.
  3. Samsung, "Rel-12 and onward," in Workshop on TD-LTE Enhancements and Evolution for Rel-12 and Beyond, Apr. 2012.
  4. K. Appaiah, A. Ashikhmin, and T. L. Marzetta, "Pilot contamination reduction in multi-user TDD systems," in Proc. IEEE ICC, May 2010, pp. 1-5.
  5. A. Ashikhmin and T. L. Marzetta, "Pilot contamination and precoding in multi-cell large scale antenna systems," in Proc. IEEE Int. Symp. Inf. Theory, Cambridge, MA, 2012, pp. 1142-1146.
  6. F. Fernandes, A. Ashikhmin, and T. Marzetta, "Interference reduction on cellular networks with large antenna arrays," in Proc. IEEE ICC, Ottawa, Canada, 2012, pp. 5773-5777.
  7. B. Gopalakrishnan and N. Jindal, "An analysis of pilot contamination on multi-user MIMO cellular systems with many antennas," in Proc. Int. Workshop Signal Process. Adv. Wireless Commun., June 2011, pp. 381- 385.
  8. J. Jose, A. Ashikhmin, T. L. Marzetta, and S. Vishwanath, "Pilot contamination and precoding in multi-cell TDD systems," IEEE Trans. Wireless Commun., vol. 10, no. 8, pp. 2640-2651, Aug. 2011. https://doi.org/10.1109/TWC.2011.060711.101155
  9. H. Q. Ngo, T. L. Marzetta, and E. G. Larsson, "Analysis of the pilot contamination effect in very large multicell multiuser MIMO systems for physical channel models," in Proc. IEEE Int. Conf. Acoustics Speech Signal Process., May 2011, pp. 3464-3467.
  10. L. Thiele, M. Olbrich, M. Kurras, and B. Matthiesen, "Channel aging effects in CoMP transmission: Gains from linear channel prediction," in Proc. Asilomar Conf. Signals Syst. Comput., Nov. 2011, pp. 1924-1928.
  11. J. Hoydis, S. T. Brink, and M. Debbah, "Massive MIMO: How many antennas do we need?," in Proc. Allerton Conf. Commun. Control Comput., Sept. 2011, pp. 545-550.
  12. J. Hoydis, S. T. Brink, and M. Debbah, "Massive MIMO in the UL/DL of cellular networks: How many antennas do we need?," IEEE J. Sel. Areas Commun., vol. 31, no. 2, pp. 160-171, Feb. 2013. https://doi.org/10.1109/JSAC.2013.130205
  13. 3GPP TR 36.814, "Evolved universal terrestrial radio access (E-UTRA): Further advancements for E-UTRA physical layer aspects," Mar. 2010.
  14. S. Verdu, Multiuser Detection. Cambridge University Press, 1998.
  15. J. P. Kermoal, L. Schumacher, K. I. Pedersen, P. E. Mogensen, and F. Frederiksen, "A stochastic MIMO radio channel model with experimental validation," IEEE J. Sel. Areas Commun., vol. 20, no. 6, pp. 1211-1226, Aug. 2002. https://doi.org/10.1109/JSAC.2002.801223
  16. W. Weichselberger, M. Herdin, H. Ozcelik, and E. Bonek, "A stochastic MIMO channel model with joint correlation of both link ends," IEEE Trans. Wireless Commun., vol. 5, no. 1, pp. 90-100, Jan. 2006. https://doi.org/10.1109/TWC.2006.1576533
  17. M. Vu and A. Paulraj, "On the capacity of MIMO wireless channels with dynamic CSIT," IEEE J. Sel. Areas Commun., vol. 25, no. 7, pp. 1269-1283, Sept. 2007. https://doi.org/10.1109/JSAC.2007.070902
  18. K. E. Baddour and N. C. Beaulieu, "Autoregressive modeling for fading channel simulation," IEEE Trans. Wireless Commun., vol. 4, no. 4, pp. 1650-1662, July 2005. https://doi.org/10.1109/TWC.2005.850327
  19. W. C. Jakes, Microwave Mobile Communications. New York: Wiley, 1974.
  20. J. Zhang, R. W. Heath, Jr., M. Kountouris, and J. G. Andrews, "Mode switching for the multi-antenna broadcast channel based on delay and channel quantization," EURASIP J. Adv. Signal Process., 2009.
  21. G. Caire, N. Jindal, M. Kobayashi, and N. Ravindran, "Multiuser MIMO achievable rates with downlink training and channel state feedback," IEEE Trans. Inf. Theory, vol. 56, no. 6, pp. 2845-2866, June 2010. https://doi.org/10.1109/TIT.2010.2046225
  22. A. Adhikary, H. C. Papadopoulos, S. A. Ramprashad, and G. Caire, "Multi-user MIMO with outdated CSI: Training, feedback and scheduling," in Proc. Allerton Conf. Commun. Control Comput., Sept. 2011, pp. 886-893.
  23. S. Haykin, Adaptive Filtering Theory. 2nd Ed. Englewood Cliffs, NY: Prentice-Hall, 1991.
  24. T. L. Marzetta, "How much training is required for multiuser MIMO?," in Proc. Asilomar Conf. Signals Systems Comput., Oct. 2006, pp. 359-363.
  25. A. Forenza, D. J. Love, and R.W. Heath, Jr., "Simplified spatial correlation models for clustered MIMO channels with different array configurations," IEEE Trans. Veh. Technol., vol. 56, no. 4, pp. 1924-1934, July 2007. https://doi.org/10.1109/TVT.2007.897212
  26. M. H. Hayes, Statistical Digital Signal Processing and Modeling. John Wiley and Sons, Inc., 1996.
  27. K. T. Truong and R. W. Heath, Jr., "Impact of spatial correlation and distributed antennas for massive MIMO systems," in Proc. Asilomar Conf. Signals Syst. Comput. (to appear), Pacific Grove, CA, Nov. 2013.