Aug 15, 2024 · Due to the broadcast nature of wireless channels, vehicular user mobility, and the diversity of vehicular network structures, the physical layer ...
Therefore, based on the predicted CSI parameters, we propose using them as an authentication mechanism and tracking the wireless channel to prevent network ...
From the model test results, it is found that the proposed DL approach provides a viable lightweight solution for channel prediction in wireless communication.
The primary purpose of using deep learning for channel estimation is to enhance the receiver's performance, thereby optimizing the recovery process for impaired ...
Deep learning has been introduced to the wireless physical layer and achieved excellent performance in many areas such as channel estimation [18], CSI feedback ...
Oct 22, 2024 · This paper presents a comprehensive overview of the emerging studies on DL-based physical layer processing, including leveraging DL to redesign ...
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To ease the reader into the topic, we summarize at a very high level the main components and operations of a learning-based wireless device in Fig. 3. The core ...
Simulation results show that the proposed deep learning-based detectors outperform the classical maximum likelihood detector (MLD), especially in small ...
The proposed LSTM-based deep learning model to output predictions of the channel response (ˆh) is presented in Fig. 2. The model employs 4 layers: three LSTM ...
The approach proposed in this paper is to train a CNN classifier using raw IQ samples without preprocessing and from experimental datasets to ensure that all ...