dc.citation.conferencePlace |
US |
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dc.citation.conferencePlace |
New Orleans, LA, USA |
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dc.citation.endPage |
3498 |
- |
dc.citation.startPage |
3494 |
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dc.citation.title |
2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 |
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dc.contributor.author |
Choi, Jinseok |
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dc.contributor.author |
Evans, Brian L. |
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dc.contributor.author |
Gatherer, Alan |
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dc.date.accessioned |
2023-12-19T19:36:12Z |
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dc.date.available |
2023-12-19T19:36:12Z |
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dc.date.created |
2020-10-26 |
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dc.date.issued |
2017-03-07 |
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dc.description.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. |
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dc.identifier.bibliographicCitation |
2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017, pp.3494 - 3498 |
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dc.identifier.doi |
10.1109/ICASSP.2017.7952806 |
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dc.identifier.issn |
1520-6149 |
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dc.identifier.scopusid |
2-s2.0-85023770046 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/48720 |
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dc.language |
영어 |
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dc.publisher |
Institute of Electrical and Electronics Engineers Inc. |
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dc.title |
ADC bit allocation under a power constraint for mmWave massive MIMO communication receivers |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2017-03-05 |
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