Artificial intelligence enabled radio propagation for communications—Part I: Channel characterization and antenna-channel optimization
To provide higher data rates, as well as better coverage, cost efficiency, security,
adaptability, and scalability, the 5G and beyond 5G networks are developed with various …
adaptability, and scalability, the 5G and beyond 5G networks are developed with various …
Artificial intelligence enabled radio propagation for communications—Part II: Scenario identification and channel modeling
This two-part paper investigates the application of artificial intelligence (AI) and, in particular,
machine learning (ML) to the study of wireless propagation channels. In Part I of this article …
machine learning (ML) to the study of wireless propagation channels. In Part I of this article …
Artificial intelligence enabled wireless networking for 5G and beyond: Recent advances and future challenges
5G wireless communication networks are currently being deployed, and B5G networks are
expected to be developed over the next decade. AI technologies and, in particular, ML have …
expected to be developed over the next decade. AI technologies and, in particular, ML have …
Wireless channel propagation scenarios identification: A perspective of machine learning
J Zhang, L Liu, Y Fan, L Zhuang, T Zhou, Z Piao - IEEE Access, 2020 - ieeexplore.ieee.org
Wireless channel scenarios identification is of pivotal significance for dedicated wireless
communication design, especially for the heterogeneous network covering rich propagation …
communication design, especially for the heterogeneous network covering rich propagation …
Machine learning for wireless communication channel modeling: An overview
SM Aldossari, KC Chen - Wireless Personal Communications, 2019 - Springer
Channel modeling is fundamental to design wireless communication systems. A common
practice is to conduct tremendous amount of channel measurement data and then to derive …
practice is to conduct tremendous amount of channel measurement data and then to derive …
Machine learning techniques for 5G and beyond
Wireless communication systems play a very crucial role in modern society for
entertainment, business, commercial, health and safety applications. These systems keep …
entertainment, business, commercial, health and safety applications. These systems keep …
Intelligent radio signal processing: A survey
Intelligent signal processing for wireless communications is a vital task in modern wireless
systems, but it faces new challenges because of network heterogeneity, diverse service …
systems, but it faces new challenges because of network heterogeneity, diverse service …
A big data enabled channel model for 5G wireless communication systems
The standardization process of the fifth generation (5G) wireless communications has
recently been accelerated and the first commercial 5G services would be provided as early …
recently been accelerated and the first commercial 5G services would be provided as early …
Machine learning in beyond 5G/6G networks—State-of-the-art and future trends
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
Predicting the path loss of wireless channel models using machine learning techniques in mmwave urban communications
S Aldossari, KC Chen - 2019 22nd International Symposium on …, 2019 - ieeexplore.ieee.org
The classic wireless communication channel modeling is performed using Deterministic and
Stochastic channel methodologies. Machine learning (ML) emerges to revolutionize system …
Stochastic channel methodologies. Machine learning (ML) emerges to revolutionize system …