Radar Aided Proactive Blockage Prediction in Real-World Millimeter Wave Systems

Author:

Demirhan Umut1,Alkhateeb Ahmed1

Affiliation:

1. Arizona State University

Funder

National Science Foundation

Publisher

IEEE

Reference13 articles.

1. Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks

2. Radar aided 6G beam prediction: Deep learning algorithms and real-world demonstration;demirhan,2021

3. Learning to Forget: Continual Prediction with LSTM

4. Adam: A method for stochastic optimization;kingma,2014

5. Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6 GHz Channels

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