Federated Channel-Beam Mapping: from sub-6GHz to mmWave
2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)（2021）
摘要
Accurate beamforming is a critical challenge for mmWave communications. Because of the large training overhead of beam training at high frequencies, it becomes relevant to exploit the available knowledge at sub-6GHz to predict the mmWave beamforming vectors using deep learning tools. In addition, fully centralized learning (CL) approaches require training over all the users data, rising major issu...
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关键词
Training,Array signal processing,Conferences,Wireless networks,Neural networks,Training data,Tools
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