Machine Learning Prediction for Phase-less Millimeter-Wave Beam Tracking
Author:
Affiliation:
1. University of California,Electrical and Computer Engineering Department,Los Angeles
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9833808/9833812/09833935.pdf?arnumber=9833935
Reference17 articles.
1. A Machine Learning Solution for Beam Tracking in mmWave Systems
2. Multi-cell multi-beam prediction using auto-encoder lstm for mmwave systems;shah;TechRxiv,2021
3. mmRAPID
4. Multi-Resolution Codebook and Adaptive Beamforming Sequence Design for Millimeter Wave Beam Alignment
5. Sequence to sequence learning with neural networks;sutskever;Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 2,2014
Cited by 2 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. Wireless communications sensing and security above 100 GHz;Nature Communications;2023-02-15
2. Attention Mechanism for Beam Prediction in mmWave Communications with Mission-Critical Applications;2022 IEEE Globecom Workshops (GC Wkshps);2022-12-04
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