Deep-learning-based Accurate Beamforming Prediction Using LiDAR-assisted Network-Reference-Cited by-同舟云学术

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Deep-learning-based Accurate Beamforming Prediction Using LiDAR-assisted Network

Published:2023-09-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
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Author:

Rinchi Omar¹,Alsharoa Ahmad¹,Shatnawi Ibrahem¹

Affiliation:

1. Missouri University of Science and Technology,Rolla,MO,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10293227/10293746/10293949.pdf?arnumber=10293949

Reference17 articles.

1. DeepSense 6G: A large-scale real-world multi-modal sensing and communication dataset;alkhateeb,2022

2. LiDAR Aided Future Beam Prediction in Real-World Millimeter Wave V2I Communications

3. Long Short-Term Memory

4. Optimized DBSCAN with Improved Static clutter removal for High Resolution Automotive Radars

5. LiDAR-Aided Mobile Blockage Prediction in Real-World Millimeter Wave Systems

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. LiDAR From the Sky: UAV Integration and Fusion Techniques for Advanced Traffic Monitoring;IEEE Systems Journal;2024-09

2. LiDAR Technology For Future Wireless Networks: Use Cases and Challenges;2024 IEEE 30th International Conference on Telecommunications (ICT);2024-06-24

3. ANN-Based LiDAR Positioning System for B5G;Micromachines;2024-05-04

4. Enhancing Near-Field Wireless Localization With LiDAR-Assisted RIS in Multipath Environments;IEEE Wireless Communications Letters;2023-12

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