Lattice-Reduction-Aided One-Bit Precoding for Massive MU-MIMO Systems

One-bit precoding is a recently proposed scheme that facilitates the use of one-bit digital-to-analog converters to reduce the cost and power consumption in a massive antenna system. In line with this, we consider the massive multiuser-multiple-input multiple-output scenario and propose a lattice-re...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology 2019-07, Vol.68 (7), p.7184-7188
Main Authors: Chen, Chiao-En, Huang, Yuan-Hao
Format: Article
Language:English
Subjects:
Algorithms
Digital to analog conversion
Digital to analog converters
Digital-analog conversion
digital-to-analog converter
Distributed processing
lattice reduction
Lattices
Massive MIMO
MIMO (control systems)
MIMO communication
one-bit precoding
Parameters
Power consumption
Power demand
precoder
Precoding
Quantization (signal)
Reduction
Tuning
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Summary:One-bit precoding is a recently proposed scheme that facilitates the use of one-bit digital-to-analog converters to reduce the cost and power consumption in a massive antenna system. In line with this, we consider the massive multiuser-multiple-input multiple-output scenario and propose a lattice-reduction-aided one-bit precoding algorithm. The proposed algorithm solves the mean square error-based one-bit precoder design problem by augmenting the Babai's nearest plane procedure with a newly proposed list generation algorithm. The proposed precoder contains no tuning parameters and hence avoids additional overheads for parameter tuning when applied to a practical system. Furthermore, the symbol precoding stage in our precoder is noniterative and can be implemented via distributed processing. These desirable features along with an excellent performance-complexity tradeoff demonstrated that the proposed precoder stands out as a competitive alternative in addition to the existing one-bit precoders.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2019.2915202