On the Generalization of Machine Learning for mmWave Beam Prediction
Author:
Affiliation:
1. National Instruments Corporation,Dresden,Germany
2. Technische Universität,Vodafone Chair for Mobile Communications Systems,Dresden,Germany
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10639044/10639045/10639163.pdf?arnumber=10639163
Reference20 articles.
1. Wideband Millimeter-Wave Propagation Measurements and Channel Models for Future Wireless Communication System Design
2. Study on new radio access technology;3GPP, TR. 38.802, V.14.2.0,2017
3. Machine Learning for Millimeter Wave and Terahertz Beam Management: A Survey and Open Challenges
4. Hierarchical Codebook Design for Beamforming Training in Millimeter-Wave Communication
5. Study on artificial intelligence (AI)/machine learning (ML) for NR air interface;3GPP, TR. 38.843, V.2.0.0,2023
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