Channel nonstationarity and consistency for beyond 5G and 6G: A survey
As the fifth-generation (5G) wireless communication networks are at the stage of commercial
deployment, beyond 5G (B5G)/sixth-generation (6G) wireless communication networks have …
deployment, beyond 5G (B5G)/sixth-generation (6G) wireless communication networks have …
Machine-learning-based data processing techniques for vehicle-to-vehicle channel modeling
Machine learning has recently drawn much attention for a variety of applications, thanks to
its good performance in identification, recognition, and regression problems. One such …
its good performance in identification, recognition, and regression problems. One such …
Machine learning-enabled LOS/NLOS identification for MIMO systems in dynamic environments
Discriminating between line-of-sight (LOS) and non-line-of-sight (NLOS) conditions, or LOS
identification, is important for a variety of purposes in wireless systems, including localization …
identification, is important for a variety of purposes in wireless systems, including localization …
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 …
Trajectory-joint clustering algorithm for time-varying channel modeling
Clustering of multipath components (MPCs) is an important aspect of propagation channel
modeling. When a time series of measurements, based on movement of transmitter and/or …
modeling. When a time series of measurements, based on movement of transmitter and/or …
Channel non-line-of-sight identification based on convolutional neural networks
The distinction between line-of-sight (LOS) and non-line-of-sight (NLOS) channels is
important for location awareness related technologies and wireless channel modeling. So …
important for location awareness related technologies and wireless channel modeling. So …
Geometry-cluster-based stochastic MIMO model for vehicle-to-vehicle communications in street canyon scenarios
Vehicle-to-vehicle (V2V) wireless communications have many envisioned applications for
ensuring traffic safety and for addressing traffic congestion. However, developing suitable …
ensuring traffic safety and for addressing traffic congestion. However, developing suitable …
Empirical low-altitude air-to-ground spatial channel characterization for cellular networks connectivity
Cellular-connected unmanned aerial vehicles (UAVs) have recently attracted a surge of
interest in both academia and industry. Understanding the air-to-ground (A2G) propagation …
interest in both academia and industry. Understanding the air-to-ground (A2G) propagation …
A Frequency Domain Predictive Channel Model for 6G Wireless MIMO Communications Based on Deep Learning
The development of sixth-generation (6G) wireless communication systems brings
significant challenges in channel modeling. Conducting channel measurements for 6G …
significant challenges in channel modeling. Conducting channel measurements for 6G …
Quasi-deterministic modeling for Industrial IoT channels based on millimeter wave measurements
J Yang, Y Liu, K Guan, M Schmieder… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) enables machines to communicate robustly. High
reliability, high throughput, and low latency are the critical capabilities of IIoT, which have …
reliability, high throughput, and low latency are the critical capabilities of IIoT, which have …