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최진석

Choi, Jinseok
Intelligent Wireless Communications Lab.
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ADC bit allocation under a power constraint for mmWave massive MIMO communication receivers

Author(s)
Choi, JinseokEvans, Brian L.Gatherer, Alan
Issued Date
2017-03-07
DOI
10.1109/ICASSP.2017.7952806
URI
https://scholarworks.unist.ac.kr/handle/201301/48720
Citation
2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017, pp.3494 - 3498
Abstract
Millimeter wave (mmWave) systems operating over a wide bandwidth and using a large number of antennas impose a heavy burden on power consumption. In a massive multiple-input multiple-output (MIMO) uplink, analog-to-digital converters (ADCs) would be the primary consumer of power in the base station receiver. This paper proposes a bit allocation (BA) method for mmWave multi-user (MU) massive MIMO systems under a power constraint. We apply ADCs to the outputs of an analog phased array for beamspace projection to exploit mmWave channel sparsity. We relax a mean square quantization error (MSQE) minimization problem and map the closed-form solution to non-negative integer bits at each ADC. In link-level simulations, the proposed method gives better communication performance than conventional low-resolution ADCs for the same or less power. Our contribution is a near optimal low-complexity BA method that minimizes total MSQE under a power constraint. © 2017 IEEE.
Publisher
Institute of Electrical and Electronics Engineers Inc.
ISSN
1520-6149

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