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 …
Geometrical-based modeling for millimeter-wave MIMO mobile-to-mobile channels
A geometric multiple-input multiple-output (MIMO) channel model is proposed for millimeter-
wave (mmWave) mobile-to-mobile (M2M) applications based on the two-ring reference …
wave (mmWave) mobile-to-mobile (M2M) applications based on the two-ring reference …
Wireless channel sparsity: Measurement, analysis, and exploitation in estimation
Sparse channel arises in a number of applications in wireless communications such as
channel estimation and signal processing. There is growing evidence that physical wireless …
channel estimation and signal processing. There is growing evidence that physical wireless …
Wireless networked multirobot systems in smart factories
Smart manufacturing based on artificial intelligence and information communication
technology will become the main contributor to the digital economy of the upcoming …
technology will become the main contributor to the digital economy of the upcoming …
A wideband non-stationary air-to-air channel model for UAV communications
Unmanned aerial vehicle (UAV) communications have recently drawn great attention. To
analyze and optimize the UAV communication systems, accurate and efficient UAV channel …
analyze and optimize the UAV communication systems, accurate and efficient UAV channel …
A kernel-power-density-based algorithm for channel multipath components clustering
Cluster-based channel modeling has been an important trend in the development of
channel model, as it maintains accuracy while reducing complexity. Whereas a large …
channel model, as it maintains accuracy while reducing complexity. Whereas a large …
THz cluster-based modeling and propagation characterization in a data center environment
Terahertz (THz) wireless data centers can provide low-latency networks and dynamic
scalability that are vital for the next-generation cloud computing infrastructure. The …
scalability that are vital for the next-generation cloud computing infrastructure. The …
Dynamic channel modeling for indoor millimeter-wave propagation channels based on measurements
In this contribution, a recently conducted measurement campaign for indoor millimeter-wave
(mm-wave) propagation channels is introduced. A vector network analyzer (VNA)-based …
(mm-wave) propagation channels is introduced. A vector network analyzer (VNA)-based …
Cluster characterization of 3-D MIMO propagation channel in an urban macrocellular environment
Multidimensional characterization of outdoor urban macrocellular propagation channels is
essential for the analysis and design of next-generation (5G and beyond) cellular massive …
essential for the analysis and design of next-generation (5G and beyond) cellular massive …
Path loss model based on machine learning using multi-dimensional Gaussian process regression
KJ Jang, S Park, J Kim, Y Yoon, CS Kim… - IEEE …, 2022 - ieeexplore.ieee.org
For beyond fifth-generation (5G) and future wireless communications, spatial consistency
that represents the correlation between propagation channel characteristics in close …
that represents the correlation between propagation channel characteristics in close …