Optimized Channel Estimation Strategies for RIS-Aided Communication

6th-Generation (6G) networks seek improved coverage and efficiency, with Reconfigurable Intelligent Surfaces (RISs) offering a way to create adaptable radio environments. Achieving optimal performance in RIS-assisted systems, especially with multiple antennas, depends on precise channel estimation. This letter introduces enhanced methods for separate channel estimation that lower pilot overhead and improve efficiency by using deterministic channel models and optimal RIS configurations, addressing challenges in large-scale RIS deployments for next-generation networks.

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Publication Details

Journal
IEEE Communications Letters
Published
2024-12-30
DOI
https://doi.org/10.1109/lcomm.2024.3524010
Citations
6
Primary Topic
Advanced Wireless Communication Techniques
Type
article
Field-Weighted Citation Impact
1.25
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article

Optimized Channel Estimation Strategies for RIS-Aided Communication

Hamidreza Khaleghi, Abdullah Haskou
6 citations
IEEE Communications Letters
Advanced Wireless Communication Techniques
1.25
article

Optimized Channel Estimation Strategies for RIS-Aided Communication

Hamidreza Khaleghi, Abdullah Haskou
article en
6 citations

Abstract

6th-Generation (6G) networks seek improved coverage and efficiency, with Reconfigurable Intelligent Surfaces (RISs) offering a way to create adaptable radio environments. Achieving optimal performance in RIS-assisted systems, especially with multiple antennas, depends on precise channel estimation. This letter introduces enhanced methods for separate channel estimation that lower pilot overhead and improve efficiency by using deterministic channel models and optimal RIS configurations, addressing challenges in large-scale RIS deployments for next-generation networks.

IEEE Communications LettersVol. 29(3)
TDF (France) (FR)
Openalex Percentile: Top 19%
Advanced Wireless Communication Techniques
1.25
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