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 …
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 …
A partial reciprocity-based channel prediction framework for FDD massive MIMO with high mobility
Z Qin, H Yin, Y Cao, W Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is believed to deliver unrepresented spectral
efficiency gains for 5G and beyond. However, a practical challenge arises during its …
efficiency gains for 5G and beyond. However, a practical challenge arises during its …
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 …
Propagation channel measurements in the mm-and sub-mm wave range for different indoor communication scenarios
MA Salhi, T Kleine-Ostmann, T Schrader - Journal of Infrared, Millimeter …, 2021 - Springer
Increasing data rates in wireless communications are accompanied with the need for new
unoccupied and unregulated bandwidth in the electromagnetic spectrum. Higher carrier …
unoccupied and unregulated bandwidth in the electromagnetic spectrum. Higher carrier …
Angular information-based NLOS/LOS identification for vehicle to vehicle MIMO system
Distinguishing between line-of-sight (LOS) and non-LOS (NLOS) based on measured
channel impulse responses is a fundamental problem for localization systems, as well as …
channel impulse responses is a fundamental problem for localization systems, as well as …
Off-grid aware channel and covariance estimation in mmWave networks
The spectrum scarcity at sub-6 GHz spectrum has made millimeter-wave (mmWave)
frequency band a key component of the next-generation wireless networks. While mmWave …
frequency band a key component of the next-generation wireless networks. While mmWave …
A real-time MIMO channel sounder for vehicle-to-vehicle propagation channel at 5.9 GHz
R Wang, CU Bas, O Renaudin… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
This paper introduces a real-time multiple input and multiple output (MIMO) channel sounder
to measure the vehicle-to-vehicle (V2V) propagation channel at 5.9 GHz. Compared to the …
to measure the vehicle-to-vehicle (V2V) propagation channel at 5.9 GHz. Compared to the …
On channel sounding with switched arrays in fast time-varying channels
R Wang, O Renaudin, CU Bas… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Time-division multiplexed (TDM) channel sounders, in which a single RF chain is connected
sequentially via an electronic switch to different elements of an array, are widely used for the …
sequentially via an electronic switch to different elements of an array, are widely used for the …
High-resolution channel sounding and parameter estimation in multi-site cellular networks
Understanding of electromagnetic propagation properties in real environments is necessary
for efficient design and deployment of cellular systems. In this paper, we show a method to …
for efficient design and deployment of cellular systems. In this paper, we show a method to …