Deep Learning Based THz Wireless Channel Property Prediction in Motherboard Desktop Environment

This paper proposes a residual network (ResNet) based feature concatenated neural network model to predict the type of scenario the channel is under and the attribute of the predicted scenario with power delay profile (PDP) as the inputs. The generalized model structure consists of three blocks for...

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Veröffentlicht in:	IEEE transactions on antennas and propagation 2023-07, Vol.71 (7), p.1-1
Hauptverfasser:	Fu, Jinbang, Jorgensen, Erik J., Juyal, Prateek, Zajic, Alenka
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Antenna measurements channel characterization channel prediction channel sounding Chip-to-chip wireless channels Computational modeling Data augmentation Data models Data points Datasets Feature extraction Frequency measurement Machine learning Mapping Motherboards Multilayer perceptrons Neural networks Performance degradation Physical arrangement Predictive models Semiconductor device measurement THz communications Wireless communication
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