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 …
AI-enabled UAV communications: Challenges and future directions
Recently, unmanned aerial vehicles (UAVs) communications gained significant
concentration as a talented technology for future wireless communications using its …
concentration as a talented technology for future wireless communications using its …
No-pain no-gain: DRL assisted optimization in energy-constrained CR-NOMA networks
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 …
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 …
radio system, including the demonstration, design, validation, operation, and so on. To …
Leveraging machine-learning for D2D communications in 5G/beyond 5G networks
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 …
and beyond 5G (B5G) networks. Although D2D communication provides several benefits …
Leveraging machine learning for millimeter wave beamforming in beyond 5G networks
Millimeter wave (mmWave) communication has attracted considerable attention as a key
technology for the next-generation wireless communications thanks to its exceptional …
technology for the next-generation wireless communications thanks to its exceptional …
Measuring sparsity of wireless channels
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 …
researches of intelligent communications, and an increasing number of investigations are …
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 …
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 …
Machine Learning Applications for the Synthesis of Planar Mechanisms—A Comprehensive Methodical Literature Review
S Sonntag, V Brünjes, J Luttmer… - International …, 2024 - asmedigitalcollection.asme.org
Recent published works in mechanism synthesis have shown promising results by
employing machine learning-based methods such as deep neural networks. As a foundation …
employing machine learning-based methods such as deep neural networks. As a foundation …
AI-aided height optimization for NOMA-UAV networks
Currently, Unmanned Aerial Vehicles (UAVs) are gaining significant attention due to their
potential to effectively carry out a variety of tasks with superior performance through the use …
potential to effectively carry out a variety of tasks with superior performance through the use …