Quantized Precoding for Multi-Antenna Downlink Channels with MAGIQ

Andrei Nedelcu1, Fabian Steiner2, Gerhard Kramer2, Markus Staudacher1, Paolo Baracca, Wolfgang Zirwas3, Rakash Sivasiva Ganesan4, Stefan Wesemann4

  • 1Technische Universität München
  • 2Technical University of Munich
  • 3Nokia Siemens Networks GmbH&CoKG
  • 4Nokia Bell Labs

Details

12:10 - 14:20 | Fri 16 Mar | ID 04/445 | P02-2

Session: Signal Processing for Wireless

Abstract

A multi-antenna, greedy, iterative, and quantized
(MAGIQ) precoding algorithm is proposed for downlink chan-
nels. MAGIQ allows a straightforward integration with orthog-
onal frequency-division multiplexing (OFDM). MAGIQ is com-
pared to three existing algorithms in terms of information rates
and complexity: quantized linear precoding (QLP), SQUID, and
an ADMM-based algorithm. The information rate is measured
by using a lower bound for finite modulation sets, and the
complexity is measured by the number of multiplications and
comparisons. MAGIQ and ADMM achieve similar information
rates with similar complexity for Rayleigh flat-fading channels
and one-bit quantization per real dimension, and they outperform
QLP and SQUID for higher order modulation.