dc.citation.conferencePlace |
SI |
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dc.citation.endPage |
6 |
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dc.citation.startPage |
1 |
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dc.citation.title |
2017 IEEE Global Communications Conference |
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dc.contributor.author |
Choi, Jinseok |
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dc.contributor.author |
Sung, Junmo |
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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 |
2023-12-19T17:38:42Z |
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dc.date.available |
2023-12-19T17:38:42Z |
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dc.date.created |
2020-10-26 |
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dc.date.issued |
2017-12-06 |
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dc.description.abstract |
A spectrum- and energy-efficient system is essential for millimeter wave communication systems that require large antenna arrays with power-demanding ADCs. We propose an ADC bit allocation (BA) algorithm that solves a minimum mean squared quantization error problem under a power constraint. Unlike existing BA methods that only consider an ADC power constraint, the proposed algorithm regards total receiver power constraint for a hybrid analog-digital beamforming architecture. The major challenge is the non-linearities in the minimization problem. To address this issue, we first convert the problem into a convex optimization problem through real number relaxation and substitution of ADC resolution switching power with constant average switching power. Then, we derive a closed-form solution by fixing the number of activated radio frequency (RF) chains M. Leveraging the solution, the binary search finds the optimal M and its corresponding optimal solution. We also provide an off-line training and modeling approach to estimate the average switching power. Simulation results validate the spectral and energy efficiency of the proposed algorithm. In particular, existing state-of-the-art digital beamformers can be used in the system in conjunction with the BA algorithm as it makes the quantization error negligible in the low-resolution regime. © 2017 IEEE. |
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dc.identifier.bibliographicCitation |
2017 IEEE Global Communications Conference, pp.1 - 6 |
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dc.identifier.doi |
10.1109/GLOCOM.2017.8254822 |
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dc.identifier.scopusid |
2-s2.0-85046443729 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/48719 |
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dc.identifier.url |
https://ieeexplore.ieee.org/document/8254822 |
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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 Optimization for Spectrum- and Energy-Efficient Millimeter Wave Communications |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2017-12-04 |
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