Towards mmWave V2X in 5G and Beyond to Support Automated Driving Article Swipe
Kei Sakaguchi
,
Ryuichi Fukatsu
,
Tao Yu
,
Eisuke Fukuda
,
Kim Mahler
,
Robert W. Heath
,
Takeo Fujii
,
Kazuaki Takahashi
,
Alexey Khoryaev
,
Satoshi Nagata
,
Takayuki Shimizu
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2011.09590
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2011.09590
Millimeter wave provides high data rates for Vehicle-to-Everything (V2X) communications. This paper motivates millimeter wave to support automated driving and begins by explaining V2X use cases that support automated driving with references to several standardi-zation bodies. The paper gives a classification of existing V2X stand-ards: IEEE802.11p and LTE V2X, along with the status of their com-mercial deployment. Then, the paper provides a detailed assessment on how millimeter wave V2X enables the use case of cooperative perception. The explanations provide detailed rate calculations for this use case and show that millimeter wave is the only technology able to achieve the requirements. Furthermore, specific challenges related to millimeter wave for V2X are described, including cover-age enhancement and beam alignment. The paper concludes with some results from three studies, i.e. IEEE802.11ad (WiGig) based V2X, extension of 5G NR (New Radio) toward mmWave V2X, and prototypes of intelligent street with mmWave V2X.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2011.09590
- https://arxiv.org/pdf/2011.09590
- OA Status
- green
- Cited By
- 6
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3104254222
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3104254222Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2011.09590Digital Object Identifier
- Title
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Towards mmWave V2X in 5G and Beyond to Support Automated DrivingWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2020Year of publication
- Publication date
-
2020-11-19Full publication date if available
- Authors
-
Kei Sakaguchi, Ryuichi Fukatsu, Tao Yu, Eisuke Fukuda, Kim Mahler, Robert W. Heath, Takeo Fujii, Kazuaki Takahashi, Alexey Khoryaev, Satoshi Nagata, Takayuki ShimizuList of authors in order
- Landing page
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https://arxiv.org/abs/2011.09590Publisher landing page
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https://arxiv.org/pdf/2011.09590Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2011.09590Direct OA link when available
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Extremely high frequency, Software deployment, Computer science, Perception, Cover (algebra), Telecommunications, Engineering, Software engineering, Mechanical engineering, Biology, NeuroscienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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6Total citation count in OpenAlex
- Citations by year (recent)
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2023: 2, 2022: 2, 2021: 1, 2020: 1Per-year citation counts (last 5 years)
- References (count)
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23Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.provides | 2, 60 |
| abstract_inverted_index.specific | 101 |
| abstract_inverted_index.studies, | 125 |
| abstract_inverted_index.automated | 17, 28 |
| abstract_inverted_index.concludes | 119 |
| abstract_inverted_index.cover-age | 112 |
| abstract_inverted_index.extension | 131 |
| abstract_inverted_index.including | 111 |
| abstract_inverted_index.motivates | 12 |
| abstract_inverted_index.Millimeter | 0 |
| abstract_inverted_index.alignment. | 116 |
| abstract_inverted_index.assessment | 63 |
| abstract_inverted_index.challenges | 102 |
| abstract_inverted_index.described, | 110 |
| abstract_inverted_index.explaining | 22 |
| abstract_inverted_index.millimeter | 13, 66, 89, 105 |
| abstract_inverted_index.prototypes | 141 |
| abstract_inverted_index.references | 31 |
| abstract_inverted_index.technology | 94 |
| abstract_inverted_index.IEEE802.11p | 45 |
| abstract_inverted_index.com-mercial | 55 |
| abstract_inverted_index.cooperative | 74 |
| abstract_inverted_index.deployment. | 56 |
| abstract_inverted_index.enhancement | 113 |
| abstract_inverted_index.intelligent | 143 |
| abstract_inverted_index.perception. | 75 |
| abstract_inverted_index.stand-ards: | 44 |
| abstract_inverted_index.Furthermore, | 100 |
| abstract_inverted_index.IEEE802.11ad | 127 |
| abstract_inverted_index.calculations | 81 |
| abstract_inverted_index.explanations | 77 |
| abstract_inverted_index.requirements. | 99 |
| abstract_inverted_index.classification | 40 |
| abstract_inverted_index.communications. | 9 |
| abstract_inverted_index.standardi-zation | 34 |
| abstract_inverted_index.Vehicle-to-Everything | 7 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 11 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.46000000834465027 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.69184153 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |