Channel Estimation and Projection for RIS-assisted MIMO Using Zadoff-Chu Sequences Article Swipe
Xuemeng Zhou
,
Zhiyu Yang
,
Tianyi Zhang
,
Yi Jiang
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2202.10038
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2202.10038
The reconfigurable intelligent surface (RIS) technology is a promising enabler for millimeter wave (mmWave) wireless communications, as it can potentially provide spectral efficiency comparable to the conventional massive multiple-input multiple-output (MIMO) but with significantly lower hardware complexity. In this paper, we focus on the estimation and projection of the uplink RIS-aided massive MIMO channel, which can be time-varying. We propose to let the user equipments (UE) transmit Zadoff-Chu (ZC) sequences and let the base station (BS) conduct maximum likelihood (ML) estimation of the uplink channel. The proposed scheme is computationally efficient: it uses ZC sequences to decouple the estimation of the frequency and time offsets; it uses the space-alternating generalized expectation-maximization (SAGE) method to reduce the high-dimensional problem due to the multipaths to multiple lower-dimensional ones per path. Owing to the estimation of the Doppler frequency offsets, the time-varying channel state can be projected, which can significantly lower the overhead of the pilots for channel estimation. The numerical simulations verify the effectiveness of the proposed scheme.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2202.10038
- https://arxiv.org/pdf/2202.10038
- OA Status
- green
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4221143082
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4221143082Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2202.10038Digital Object Identifier
- Title
-
Channel Estimation and Projection for RIS-assisted MIMO Using Zadoff-Chu SequencesWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-02-21Full publication date if available
- Authors
-
Xuemeng Zhou, Zhiyu Yang, Tianyi Zhang, Yi JiangList of authors in order
- Landing page
-
https://arxiv.org/abs/2202.10038Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2202.10038Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2202.10038Direct OA link when available
- Concepts
-
MIMO, Channel (broadcasting), Telecommunications link, Computer science, Base station, Spectral efficiency, MIMO-OFDM, Algorithm, Real-time computing, Overhead (engineering), Computational complexity theory, Wireless, Orthogonal frequency-division multiplexing, Telecommunications, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2023: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.time-varying | 138 |
| abstract_inverted_index.effectiveness | 161 |
| abstract_inverted_index.significantly | 33, 146 |
| abstract_inverted_index.time-varying. | 57 |
| abstract_inverted_index.multiple-input | 28 |
| abstract_inverted_index.reconfigurable | 1 |
| abstract_inverted_index.communications, | 15 |
| abstract_inverted_index.computationally | 89 |
| abstract_inverted_index.multiple-output | 29 |
| abstract_inverted_index.high-dimensional | 116 |
| abstract_inverted_index.lower-dimensional | 124 |
| abstract_inverted_index.space-alternating | 108 |
| abstract_inverted_index.expectation-maximization | 110 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.5699999928474426 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile |