Advertisement

Combine DPC and TDM for MIMO Broadcast Channels in Circuit Data Scenarios

  • Yingbo Li
  • Da Wang
  • Guocheng Lv
  • Mingke Dong
  • Ye Jin
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 157)

Abstract

Dirty paper coding (DPC) is shown to achieve the capacity of multiple-input multiple-output (MIMO) Gaussian broadcast channels (BCs). Finding the optimal covariance matrices and order of users for maximizing user capacity requires high complexity computation. To deal with this problem, many researchers use fixed order of users e.g. minimum power first (MPF) and get subpar performance. Meanwhile, the complexity of DPC scheme grows linearly with number of users requiring to cancel known-interference. In this paper we present a scheme combining DPC and traditional Time Division Multiplexing (TDM) that aim to maximize user capacity and reduce complexity of implementation. Simulation results show that the proposed scheme achieves better performance than that of DPC MPF scheme.

Keywords

Broadcast Channel User Capacity Time Division Multiplex Dirty Paper Code Complex Gaussian Distribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Telatar, I.: Capacity of multi-antenna gaussian channels. Bell Laboratories, Tech. Rep. (June 1995)Google Scholar
  2. 2.
    Foschini, G.J., Gans, M.J.: On limits of wireless communications in a fading environment when using multiple antennas. Wireless Personal Communications 6, 311–335 (1998)CrossRefGoogle Scholar
  3. 3.
    Caire, G., Shamai, S.: On the achievable throughput of a multiantenna gaussian broadcast channel. IEEE Transactions on Information Theory 49(7), 1691–1706 (2003)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Boppana, S., Shea, J.: Downlink user capacity of cellular systems: Tdma vs dirty paper coding. In: Proc. IEEE Int. Symp. Inform. Theory, July 2006, pp. 754–758 (2006)Google Scholar
  5. 5.
    Viswanathan, H., Venkatesan, S., Huang, H.: Downlink capacity evaluation of cellular networks with known-interference cancellation. IEEE J. Sel. Areas Commun. 21(5), 802–811 (2003)CrossRefGoogle Scholar
  6. 6.
    Vishwanath, S., Jindal, N., Goldsmith, A.: Duality, Achievable Rates and Sum-Rate Capacity of Gaussian MIMO Broadcast Channels. IEEE Transactions on Information Theory 49, 2658–2668 (2003)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Yingbo Li
    • 1
  • Da Wang
    • 1
  • Guocheng Lv
    • 1
  • Mingke Dong
    • 1
  • Ye Jin
    • 1
  1. 1.School of Electronics Engineering & Computer SciencePeking UniversityBeijingP.R. China

Personalised recommendations