Sum rates, rate allocation, and user scheduling for multi-user MIMO vector perturbation precoding

  • Authors:
  • Adeel Razi;Daniel J. Ryan;Iain B. Collings;Jinhong Yuan

  • Affiliations:
  • School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, NSW, Australia;Department of Electronics and Telecommunications, Norwegian University of Science and Technology, Trondheim, Norway;Wireless Technologies Laboratory, CSIRO ICT Centre, Sydney, Australia;School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, NSW, Australia

  • Venue:
  • IEEE Transactions on Wireless Communications
  • Year:
  • 2010

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Abstract

This paper considers the multiuser multiple-input multiple-output (MIMO) broadcast channel. We consider the case where the multiple transmit antennas are used to deliver independent data streams to multiple users via vector perturbation. We derive expressions for the sum rate in terms of the average energy of the precoded vector, and use this to derive a high signal-to-noise ratio (SNR) closed-form upper bound, which we show to be tight via simulation. We also propose a modification to vector perturbation where different rates can be allocated to different users. We conclude that for vector perturbation precoding most of the sum rate gains can be achieved by reducing the rate allocation problem to the user selection problem. We then propose a low-complexity user selection algorithm that attempts to maximize the high-SNR sum rate upper bound. Simulations show that the algorithm outperforms other user selection algorithms of similar complexity.