Artificial neural network models for radiowave propagation in tunnels-Reference-Cited by-同舟云学术

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Artificial neural network models for radiowave propagation in tunnels

Published:2020-07-14 Issue:11 Volume:14 Page:1198-1208
ISSN:1751-8733
Container-title:IET Microwaves, Antennas & Propagation
language:en
Short-container-title:IET Microwaves, Antennas & Propagation

Author:

Seretis Aristeidis¹^ORCID,Zhang Xingqi¹²^ORCID,Zeng Kun³,Sarris Costas D.¹

Affiliation:

1. Edward S. Rogers Sr. Department of Electrical and Computer EngineeringUniversity of TorontoTorontoONM5S 3G4Canada

2. School of Electrical and Electronic EngineeringUniversity College DublinDublinD04 V1W8Ireland

3. Huawei Technologies Co., Ltd.Chengdu611731People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-map.2019.0988

Reference37 articles.

1. Integrating Physics-Based Wireless Propagation Models and Network Protocol Design for Train Communication Systems

2. Ray-optical prediction of radio-wave propagation characteristics in tunnel environments. 2. Analysis and measurements

3. Sood N. Sarris C.D.: ‘Enabling accurate propagation modeling of complex tunnel geometries with ray‐tracing’.2017 IEEE Int. Symp. on Antennas and Propagation USNC/URSI National Radio Science Meeting San Diego CA USA. 2017 pp.1827–1828

4. A Numerical Scheme for the Solution of the Vector Parabolic Equation Governing the Radio Wave Propagation in Straight and Curved Rectangular Tunnels

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1. Performance Evaluation of GeoAI-Based Approach for Path Loss Prediction in Cellular Communication Networks;Wireless Personal Communications;2024-09-12

2. Evaluation of MLP and LSTM ANNs for Signal Prediction in a Tunnel at 5.8 GHz Using Measurement Data;2024 19th International Symposium on Wireless Communication Systems (ISWCS);2024-07-14

3. Efficient Parabolic Equation-Driven CNN Propagation Model in Tunnels Based on Frequency Conversion;IEEE Transactions on Antennas and Propagation;2024-07

4. Comparative analysis of finite‐difference and split‐step based parabolic equation methods for tunnel propagation modelling;IET Microwaves, Antennas & Propagation;2023-12-10

5. Generalisable convolutional neural network model for radio wave propagation in tunnels;IET Microwaves, Antennas & Propagation;2023-10-11

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