Hybrid Reconfigurable Intelligent Surfaces-Assisted Near-Field Localization-Reference-Cited by-同舟云学术

Hybrid Reconfigurable Intelligent Surfaces-Assisted Near-Field Localization

Published:2023-01 Issue:1 Volume:27 Page:135-139
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Zhang Xing¹^ORCID,Zhang Haiyang¹^ORCID

Affiliation:

1. School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/4234/10008392/09921216.pdf?arnumber=9921216

Reference14 articles.

1. Hybrid reconfigurable intelligent metasurfaces: Enabling simultaneous tunable reflections and sensing for 6G wireless communications;alexandropoulos;arXiv 2104 04690,2021

2. Compressive Near-Field Localization for Multipath RIS-Aided Environments

3. Localization and Channel Reconstruction for Extra Large RIS-Assisted Massive MIMO Systems

4. Reconfigurable Intelligent Surfaces for Localization: Position and Orientation Error Bounds

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2. RACLN: Reconfigurable Intelligent Surface as Anchors for Cooperative Localization of Wireless Sensor Network;IEEE Internet of Things Journal;2024-09-01

3. RIS-Aided Near-Field MIMO Communications: Codebook and Beam Training Design;IEEE Transactions on Wireless Communications;2024-09

4. RIS-Aided Localization Under Pixel Failures;IEEE Transactions on Wireless Communications;2024-08

5. Asynchronous Hybrid RIS-Assisted Near-Field Localization;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21