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Conference Paper Parallel Network Assisted Calibrated Beam Training for mmWave Communication Systems
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Authors
Jihyung Kim, Soyoung Yoo, Junghyun Kim
Issue Date
2023-07
Citation
International Conference on Ubiquitous and Future Networks (ICUFN) 2023, pp.1-3
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICUFN57995.2023.10200558
Abstract
This paper proposes a new structure called CNN-PN-LSTM to improve the beam prediction performance of existing deep learning-based calibrated mmWave beam training. Unlike previous works, we utilized a parallel network to effectively extract features from high-dimensional signals for model training. Simulation results show the effectiveness of the parallel network and the superior prediction performance of our model.
KSP Keywords
Communication system, High-dimensional, Learning-based, Parallel Network, deep learning(DL), extract features, mmWave communication, prediction performance, simulation results