Quantized Precoding for Multi-Antenna Downlink Channels with MAGIQ

Conference: WSA 2018 - 22nd International ITG Workshop on Smart Antennas
03/14/2018 - 03/16/2018 at Bochum, Deutschland

Proceedings: ITG-Fb. 276: WSA 2018

Pages: 8Language: englishTyp: PDF

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Nedelcu, Andrei; Steiner, Fabian; Staudacher, Markus; Kramer, Gerhard (Institute for Communications Engineering, Technical University of Munich, Germany)
Zirwas, Wolfgang; Ganesan, Rakash Sivasiva (Nokia Bell Labs, Munich, Germany)
Baracca, Paolo; Wesemann, Stefan (Nokia Bell Labs, Stuttgart, Germany)

A multi-antenna, greedy, iterative, and quantized (MAGIQ) precoding algorithm is proposed for downlink channels. MAGIQ allows a straightforward integration with orthogonal frequency-division multiplexing (OFDM) for frequency selective channels. MAGIQ is compared 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 for Rayleigh flat-fading channels and one-bit quantization per real dimension, and they outperform QLP and SQUID for higher order modulation formats.