Deep Learning Empowered High Accuracy and Low Complexity Indoor Channel Prediction for Wireless Communication Systems-Reference-Cited by-同舟云学术

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Deep Learning Empowered High Accuracy and Low Complexity Indoor Channel Prediction for Wireless Communication Systems

Published:2024-07-02 Issue: Volume: Page:1747-1751
ISSN:
Container-title:2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
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Author:

Juang Rong-Terng¹,Wang Tong-Wen²,Cao Jun-Xiang²,Lin Hsin-Piao¹,Lin Ding-Bing³

Affiliation:

1. Institute of Aerospace and Systems Engineering, National Taipei University of Technology,Taipei,Taiwan

2. Feng Chia University,Department of Electronic Engineering,Taichung,Taiwan

3. National Taiwan University of Science and Technology,Department of Electronic and Computer Engineering,Taipei,Taiwan

Funder

Ministry of Science and Technology (MOST), Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10633276/10633246/10633484.pdf?arnumber=10633484

Reference14 articles.

1. An Efficient 3-D Ray Tracing Method: Prediction of Indoor Radio Propagation at 28 GHz in 5G Network

2. Empirical propagation performance evaluation of LoRa for indoor environment

3. An enhanced modified multi wall propagation model

4. Integrating Cost-231 Multiwall Propagation and Adaptive Data Rate Method for Access Point Placement Recommendation

5. Energy Efficient Smart Buildings: LSTM Neural Networks for Time Series Prediction

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