New Empirical Path Loss Model for HSR-Reference-Cited by-同舟云学术

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New Empirical Path Loss Model for HSR

Published:2022-05-04 Issue: Volume: Page:
ISSN:
Container-title:2022 13th Asian Control Conference (ASCC)
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Short-container-title:

Author:

Lukman Selvi¹,Nazaruddin Yul Yunazwin²,Ai Bo³,Joelianto Endra²

Affiliation:

1. Institut Teknologi Bandung,Faculty of Industrial Technology,Department of Engineering Physics,Bandung,Indonesia

2. Institut Teknologi Bandung,Instrumentation Control Research Group,Department of Engineering Physics

3. Beijing Jiaotong University,State Key Laboratory of Rail Traffic Control and Safety,Beijing,P.R. China

Funder

Ministry of Education

Institut Teknologi Bandung

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9828005/9828007/09828309.pdf?arnumber=9828309

Reference15 articles.

1. Particle Swarm Optimization for the Path Loss Reduction in Suburban and Rural Area

2. Application of artificial neural networks for path loss prediction in railway environments

3. Characterization of Vehicle Penetration Loss at wireless communication frequencies

4. An Integrated Antenna System for 4G and Millimeter-Wave 5G for Future Handheld Devices;syeda;IEEE Access,2019

5. CAPSO: A Parallelized Multiobjective Cultural Algorithm Particle Swarm Optimizer;stanley;IEEE Access,2019

Cited by 3 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. Link Budget Analysis for HSR Communication in Low Frequency Spectrum;2023 23rd International Conference on Control, Automation and Systems (ICCAS);2023-10-17

2. Parameter Identification of Signal Attenuation for High Speed Rail Communication System Using Grey Box Neural Network;2023 8th International Conference on Instrumentation, Control, and Automation (ICA);2023-08-09

3. Performance Analysis of Received Signal Level for HSR using Optimized Path Loss Model;2022 RIVF International Conference on Computing and Communication Technologies (RIVF);2022-12-20

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