Sum rates for multi-user MIMO vector perturbation precoding with regularization

Adeel Razi, Daniel J. Ryan, Jinhong Yuan, Iain B. Collings

Research output: Contribution to journalArticleResearchpeer-review

Abstract

In this paper, we analyze the sum rate performance of multiuser multi-antenna downlink channel. We consider Rayleigh fading environment when regularized vector perturbation precoding (R-VPP) method is used at the transmitter. We derive expressions for the sum rate in terms of the variance of the received signal. We also provide a closed form approximation for the mean squared error (MSE) which is shown to work well for the whole range of SNR. Further, we also propose a simpler expression for R-VPP sum rate based on MSE. The simulation results show that the proposed expressions for R-VPP sum rate closely match the sum rate found by the entropy estimation. Our results show that when compared with other linear and non-linear precoding methods (like zero-forcing precoder, linear minimum mean square error (MMSE) precoder and VPP), R-VPP sum rate performance is very close to DPC for all SNR values. It is also noted that the sum rate performance of the linear MMSE precoder is very close to the R-VPP at low to medium SNR range. Finally we also compared the merits of performing regularization for VPP as compared to the greedy rate maximizing user scheduling. It turns out that the R-VPP with or without user selection performs better than the VPP systems with user selection.

Original languageEnglish
Pages (from-to)187-196
Number of pages10
JournalPhysical Communication
Volume13
Issue numberPart C
DOIs
Publication statusPublished - 1 Dec 2014
Externally publishedYes

Keywords

  • Broadcast channel
  • MIMO systems
  • Multi-user
  • Precoding
  • Regularized vector perturbation
  • User scheduling

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