Artificial intelligence enabled radio propagation for communications—Part I: Channel characterization and antenna-channel optimization

C Huang, R He, B Ai, AF Molisch… - … on Antennas and …, 2022 - ieeexplore.ieee.org
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 …

AI-enabled UAV communications: Challenges and future directions

AO Hashesh, S Hashima, RM Zaki, MM Fouda… - IEEE …, 2022 - ieeexplore.ieee.org
Recently, unmanned aerial vehicles (UAVs) communications gained significant
concentration as a talented technology for future wireless communications using its …

No-pain no-gain: DRL assisted optimization in energy-constrained CR-NOMA networks

Z Ding, R Schober, HV Poor - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper applies machine learning to optimize the transmission policies of cognitive radio
inspired non-orthogonal multiple access (CR-NOMA) networks, where time-division multiple …

The Current Progress and Future Prospects of Path Loss Model for Terrestrial Radio Propagation

J Wang, Y Hao, C Yang - Electronics, 2023 - mdpi.com
The radio channel model is a major factor supporting the whole life cycle of the terrestrial
radio system, including the demonstration, design, validation, operation, and so on. To …

Leveraging machine-learning for D2D communications in 5G/beyond 5G networks

S Hashima, BM ElHalawany, K Hatano, K Wu… - Electronics, 2021 - mdpi.com
Device-to-device (D2D) communication is a promising paradigm for the fifth generation (5G)
and beyond 5G (B5G) networks. Although D2D communication provides several benefits …

机器学习在信道建模中的应用综述

刘留, 张建华, 樊圆圆, 于力, 张嘉驰 - 通信学报, 2021 - infocomm-journal.com
信道建模是设计无线通信系统的基础, 传统的信道建模方法无法自动学习特定类型信道的规律,
特别是在针对特殊应用场景, 如物联网, 毫米波通信, 车联网等, 存在一定的局限性. 此外 …

Leveraging machine learning for millimeter wave beamforming in beyond 5G networks

BM ElHalawany, S Hashima, K Hatano… - IEEE Systems …, 2021 - ieeexplore.ieee.org
Millimeter wave (mmWave) communication has attracted considerable attention as a key
technology for the next-generation wireless communications thanks to its exceptional …

Measuring sparsity of wireless channels

H Zhang, R He, B Ai, S Cui… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Recently, channel sparsity has been considered as a nature of wireless channels in many
researches of intelligent communications, and an increasing number of investigations are …

Integrating Communication and Sensor Arrays to Model and Navigate Autonomous Unmanned Aerial Systems

SM Perera, RJ Myers, K Sullivan, K Byassee, H Song… - Electronics, 2022 - mdpi.com
The emerging concept of drone swarms creates new opportunities with major societal
implications. However, future drone swarm applications and services pose new …

[PDF][PDF] Fading channel prediction for 5G and 6G mobile communication systems

M Soszka - International Journal of Electronics and …, 2022 - repo.pw.edu.pl
Nowadays, there is a trend to employ adaptive solutions in mobile communication. The
adaptive transmission systems seem to answer the need for highly reliable communication …