Machine Learning-Assisted Beam Alignment for mmWave Systems-Reference-Cited by-同舟云学术

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Machine Learning-Assisted Beam Alignment for mmWave Systems

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Global Communications Conference (GLOBECOM)
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Author:

Heng Yuqiang,Andrews Jeffrey G.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8968653/9013108/09013296.pdf?arnumber=9013296

Cited by 16 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. Impacts of Dataset and Codebook Sizes on ML-Driven Beam Prediction for mmWave V2I Communication;2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM);2024-07-23

2. Beam Prediction for mmWave V2I Communication Using ML-Based Multiclass Classification Algorithms;Electronics;2024-07-06

3. Beam SNR Prediction Using Channel Charting;IEEE Transactions on Vehicular Technology;2023-10

4. Cascaded Binary Classifiers for Blind Beam Alignment in mmWave MIMO Using One-Bit Quantization;2023 IEEE International Conference on Communications Workshops (ICC Workshops);2023-05-28

5. Eliminating Space Scanning: Fast mmWave Beam Alignment with UWB Radios;ACM Transactions on Sensor Networks;2023-05-16

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