CNN-Based Path Loss Prediction With Enhanced Satellite Images-Reference-Cited by-同舟云学术

CNN-Based Path Loss Prediction With Enhanced Satellite Images

Published:2024-01 Issue:1 Volume:23 Page:189-193
ISSN:1536-1225
Container-title:IEEE Antennas and Wireless Propagation Letters
language:
Short-container-title:Antennas Wirel. Propag. Lett.

Author:

Qiu Zhicheng¹^ORCID,He Ruisi¹^ORCID,Yang Mi¹^ORCID,Zhou Shun²^ORCID,Yu Long²^ORCID,Wang Chenlong¹^ORCID,Zhang Yuxin¹^ORCID,Fan Jianhua²^ORCID,Ai Bo¹^ORCID

Affiliation:

1. State Key Laboratory of Advanced Rail Autonomous Operation, School of Electronics and Information Engineering, and the Frontiers Science Center for Smart High-Speed Railway System, Beijing Jiaotong University, Beijing, China

2. Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

State Key Laboratory of Advanced Rail Autonomous Operation

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/7727/10380962/10268606.pdf?arnumber=10268606

Reference16 articles.

1. A Survey of Wireless Path Loss Prediction and Coverage Mapping Methods

2. AI-enabled Data-driven Channel Modeling for Future Communications

3. Artificial Intelligence Enabled Radio Propagation for Communications—Part I: Channel Characterization and Antenna-Channel Optimization

4. Artificial Intelligence Enabled Radio Propagation for Communications—Part II: Scenario Identification and Channel Modeling

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