mmWave Channel Estimation via Approximate Message Passing with Side Information Article Swipe
Dror Baron
,
Cynthia Rush
,
Yavuz Yapıcı
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/spawc48557.2020.9154312
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/spawc48557.2020.9154312
This work considers millimeter-wave channel estimation in a setting where parameters of the underlying mmWave channels are varying dynamically over time and there is a single drifting path. In this setting, channel estimates at time block $k$ can be used as side information (SI) when estimating the channel at block $k+1$. To estimate channel parameters, we employ an SI-aided (complex) approximate message passing algorithm and compare its performance to a benchmark based on orthogonal matching pursuit.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1109/spawc48557.2020.9154312
- OA Status
- green
- References
- 26
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W3022032914
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3022032914Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/spawc48557.2020.9154312Digital Object Identifier
- Title
-
mmWave Channel Estimation via Approximate Message Passing with Side InformationWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-05-01Full publication date if available
- Authors
-
Dror Baron, Cynthia Rush, Yavuz YapıcıList of authors in order
- Landing page
-
https://doi.org/10.1109/spawc48557.2020.9154312Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2005.02244Direct OA link when available
- Concepts
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Channel (broadcasting), Benchmark (surveying), Message passing, Block (permutation group theory), Computer science, Algorithm, Path (computing), Matching (statistics), Telecommunications, Computer network, Mathematics, Statistics, Distributed computing, Geometry, Geodesy, GeographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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26Number of works referenced by this work
- Related works (count)
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20Other works algorithmically related by OpenAlex
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| publication_date | 2020-05-01 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W2128659236, https://openalex.org/W2263866228, https://openalex.org/W2604992528, https://openalex.org/W2751147412, https://openalex.org/W1965875863, https://openalex.org/W2963676935, https://openalex.org/W2967150051, https://openalex.org/W1606559753, https://openalex.org/W2594009540, https://openalex.org/W2910778537, https://openalex.org/W2945463326, https://openalex.org/W2965130990, https://openalex.org/W2145096794, https://openalex.org/W4250955649, https://openalex.org/W2975403430, https://openalex.org/W2884367479, https://openalex.org/W2018322127, https://openalex.org/W2082029531, https://openalex.org/W2463747392, https://openalex.org/W2051275493, https://openalex.org/W2903505234, https://openalex.org/W3009360862, https://openalex.org/W2947007362, https://openalex.org/W3105033759, https://openalex.org/W2296616510, https://openalex.org/W3104264844 |
| referenced_works_count | 26 |
| abstract_inverted_index.a | 7, 24, 69 |
| abstract_inverted_index.In | 28 |
| abstract_inverted_index.To | 51 |
| abstract_inverted_index.an | 57 |
| abstract_inverted_index.as | 40 |
| abstract_inverted_index.at | 33, 48 |
| abstract_inverted_index.be | 38 |
| abstract_inverted_index.in | 6 |
| abstract_inverted_index.is | 23 |
| abstract_inverted_index.of | 11 |
| abstract_inverted_index.on | 72 |
| abstract_inverted_index.to | 68 |
| abstract_inverted_index.we | 55 |
| abstract_inverted_index.$k$ | 36 |
| abstract_inverted_index.and | 21, 64 |
| abstract_inverted_index.are | 16 |
| abstract_inverted_index.can | 37 |
| abstract_inverted_index.its | 66 |
| abstract_inverted_index.the | 12, 46 |
| abstract_inverted_index.(SI) | 43 |
| abstract_inverted_index.This | 0 |
| abstract_inverted_index.over | 19 |
| abstract_inverted_index.side | 41 |
| abstract_inverted_index.this | 29 |
| abstract_inverted_index.time | 20, 34 |
| abstract_inverted_index.used | 39 |
| abstract_inverted_index.when | 44 |
| abstract_inverted_index.work | 1 |
| abstract_inverted_index.based | 71 |
| abstract_inverted_index.block | 35, 49 |
| abstract_inverted_index.path. | 27 |
| abstract_inverted_index.there | 22 |
| abstract_inverted_index.where | 9 |
| abstract_inverted_index.$k+1$. | 50 |
| abstract_inverted_index.employ | 56 |
| abstract_inverted_index.mmWave | 14 |
| abstract_inverted_index.single | 25 |
| abstract_inverted_index.channel | 4, 31, 47, 53 |
| abstract_inverted_index.compare | 65 |
| abstract_inverted_index.message | 61 |
| abstract_inverted_index.passing | 62 |
| abstract_inverted_index.setting | 8 |
| abstract_inverted_index.varying | 17 |
| abstract_inverted_index.SI-aided | 58 |
| abstract_inverted_index.channels | 15 |
| abstract_inverted_index.drifting | 26 |
| abstract_inverted_index.estimate | 52 |
| abstract_inverted_index.matching | 74 |
| abstract_inverted_index.pursuit. | 75 |
| abstract_inverted_index.setting, | 30 |
| abstract_inverted_index.(complex) | 59 |
| abstract_inverted_index.algorithm | 63 |
| abstract_inverted_index.benchmark | 70 |
| abstract_inverted_index.considers | 2 |
| abstract_inverted_index.estimates | 32 |
| abstract_inverted_index.estimating | 45 |
| abstract_inverted_index.estimation | 5 |
| abstract_inverted_index.orthogonal | 73 |
| abstract_inverted_index.parameters | 10 |
| abstract_inverted_index.underlying | 13 |
| abstract_inverted_index.approximate | 60 |
| abstract_inverted_index.dynamically | 18 |
| abstract_inverted_index.information | 42 |
| abstract_inverted_index.parameters, | 54 |
| abstract_inverted_index.performance | 67 |
| abstract_inverted_index.millimeter-wave | 3 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.0338378 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |