One-Bit Sigma-Delta MIMO Precoding

Coarsely quantized MIMO signalling methods have gained popularity in the recent developments of massive MIMO as they open up opportunities for massive MIMO implementation using cheap and power-efficient radio-frequency front-ends. This paper presents a new one-bit MIMO precoding approach using spati...

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Bibliographic Details
Published in:IEEE journal of selected topics in signal processing Vol. 13; no. 5; pp. 1046 - 1061
Main Authors: Shao, Mingjie, Ma, Wing-Kin, Li, Qiang, Swindlehurst, A. Lee
Format: Journal Article
Language:English
Published: New York IEEE 01.09.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Analog to digital conversion
Antenna arrays
Design optimization
Error analysis
Massive MIMO
Measurement
MIMO communication
MIMO precoder design
Modulation
one-bit MIMO
Optimization
Precoding
Quantization (signal)
Sigma-Delta modulation
ISSN:1932-4553, 1941-0484
Online Access:Get full text
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Summary:Coarsely quantized MIMO signalling methods have gained popularity in the recent developments of massive MIMO as they open up opportunities for massive MIMO implementation using cheap and power-efficient radio-frequency front-ends. This paper presents a new one-bit MIMO precoding approach using spatial Sigma-Delta (<inline-formula><tex-math notation="LaTeX">\Sigma \Delta</tex-math></inline-formula>) modulation. In previous one-bit MIMO precoding research, one mainly focuses on using optimization to tackle the difficult binary signal optimization problem that arises from the precoding design. Our approach attempts a different route. Assuming angular MIMO channels, we apply <inline-formula><tex-math notation="LaTeX">\Sigma \Delta</tex-math></inline-formula> modulation-a classical concept in analog-to-digital conversion of temporal signals-in space. The resulting <inline-formula><tex-math notation="LaTeX">\Sigma \Delta</tex-math></inline-formula> precoding approach has two main advantages: First, we no longer need to deal with binary optimization in <inline-formula><tex-math notation="LaTeX">\Sigma \Delta</tex-math></inline-formula> precoding design. Particularly, the binary signal restriction is replaced by peak signal amplitude constraints. Second, the impact of the quantization error can be well controlled via modulator design and under appropriate operating conditions. Through symbol error probability analysis, we reveal that the very large number of antennas in massive MIMO provides favorable operating conditions for <inline-formula><tex-math notation="LaTeX">\Sigma \Delta</tex-math></inline-formula> precoding. In addition, we develop a new <inline-formula><tex-math notation="LaTeX">\Sigma \Delta</tex-math></inline-formula> modulation architecture that is capable of adapting the channel to achieve nearly zero quantization error for a targeted user. Furthermore, we consider multi-user <inline-formula><tex-math notation="LaTeX">\Sigma \Delta</tex-math></inline-formula> precoding using the zero-forcing and symbol-level precoding schemes. These two <inline-formula><tex-math notation="LaTeX">\Sigma \Delta</tex-math></inline-formula> precoding schemes perform considerably better than their direct one-bit quantized counterparts, as simulation results show.
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ISSN:1932-4553
1941-0484
DOI:10.1109/JSTSP.2019.2938687