In this paper, we propose a novel super resolution (SR) model for generating channel character-istics data. The model is based on multi-task learning (MTL) ...
Aug 18, 2023 · The model is based on multitask learning (MTL) convolutional neural networks (CNNs) with attention mechanism and residual connection.
Sep 9, 2022 · In this paper, we propose a novel super resolution (SR) model for generating channel characteristics data. The model is based on multi-task ...
The model is based on multi-task learning (MTL) convolutional neural networks (CNN) with attention mechanism and residual connection. Experiments demonstrate ...
A multi-task learning model for super resolution of wireless channel characteristics. X Wang, Z Zhang, D He, K Guan, D Liu, J Dou, S Mumtaz, S Al-Rubaye.
Bibtex for Paper Conference A Multi-Task Learning Model for ...
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... A Multi-Task Learning Model for Super Resolution of Wireless Channel Characteristics}, year={2022}, month={December}, volume={}, pages={-} } Create and ...
In this paper, we propose a novel super resolution (SR) model for generating channel characteristics data. The model is based on multi-task learning (MTL) ...
In this paper, we propose a deep learning model based on LSTM for time series prediction in wireless communication, employing multi-task learning to improve ...
Missing: Super | Show results with:Super
However, our proposed MTL model performs both modulation and signal classification on communication as well as radar waveforms to represent heterogeneous ...
Missing: Super Characteristics.
A Multi - Task Learning Model for Super Resolution of Wireless Channel Characteristics. 2022, Proceedings - IEEE Global Communications Conference, GLOBECOM.