Millimeter-Wave Received Power Prediction from Time-Series Images Using Deep Learning

Author:

Nguyen Khanh Nam1,Takizawa Kenichi1

Affiliation:

1. National Institute of Information and Communications Technology (NICT),Resilient ICT Research Center,Miyagi,Japan,9800812

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep Learning-Based Blockage Prediction For Intelligent Reflecting Surfaces-Aided V2X Networks;2024 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET);2024-03-21

2. Detection Capability of a CNN-Based Imageless Millimeter Wave System for Static Concealed Objects;2024 18th European Conference on Antennas and Propagation (EuCAP);2024-03-17

3. Prediction-based Physical Layer Base Station Switching using Imaging Data;2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit);2023-06-06

4. A formulation-aid transfer learning-based framework in received power prediction;IEICE Communications Express;2023-02-01

5. A formulation-aid transfer learning-based framework in received power prediction;IEICE COMMUN EXPRESS;2023

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