Guest Editorial Artificial Intelligence in Radio Propagation for Communications-Reference-Cited by-同舟云学术

Guest Editorial Artificial Intelligence in Radio Propagation for Communications

Published:2022-06 Issue:6 Volume:70 Page:3934-3938
ISSN:0018-926X
Container-title:IEEE Transactions on Antennas and Propagation
language:
Short-container-title:IEEE Trans. Antennas Propagat.

Author:

He Ruisi¹^ORCID,Lau Buon Kiong²^ORCID,Oestges Claude³^ORCID,Haneda Katsuyuki⁴^ORCID,Liu Bo⁵^ORCID

Affiliation:

1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China

2. Department of Electrical and Information Technology, Lund University, Lund, Sweden

3. Institute of Information and Communication Technologies, Electronics and Applied Mathematics Université Catholique de Louvain, Louvain-la-Neuve, Belgium

4. Department of Radio Science and Engineering, Aalto University, Espoo, Finland

5. School of Engineering, University of Glasgow, Glasgow, U.K.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8/9794936/09794958.pdf?arnumber=9794958

Reference38 articles.

1. Machine Learning-Enabled LOS/NLOS Identification for MIMO Systems in Dynamic Environments

2. Predicting Wireless MmWave Massive MIMO Channel Characteristics Using Machine Learning Algorithms

3. Wireless Channel Sparsity: Measurement, Analysis, and Exploitation in Estimation

4. A Novel Denoising Method Based on Machine Learning in Channel Measurements

5. A Big Data Enabled Channel Model for 5G Wireless Communication Systems

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