A tutorial on environment-aware communications via channel knowledge map for 6G
Sixth-generation (6G) mobile communication networks are expected to have dense
infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified …
infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified …
A new 5G radio evolution towards 5G-Advanced
The evolution of the fifth-generation (5G) new radio (NR) has progressed swiftly since the
third generation partnership project (3GPP) standardized the first NR version (Release 15) …
third generation partnership project (3GPP) standardized the first NR version (Release 15) …
Deep learning for mmWave beam and blockage prediction using sub-6 GHz channels
Predicting the millimeter wave (mmWave) beams and blockages using sub-6 GHz channels
has the potential of enabling mobility and reliability in scalable mmWave systems. Prior work …
has the potential of enabling mobility and reliability in scalable mmWave systems. Prior work …
Computer vision-aided reconfigurable intelligent surface-based beam tracking: Prototy** and experimental results
In this paper, we propose a novel computer vision-based approach to aid reconfigurable
intelligent surface (RIS) for dynamic beam tracking and implement the corresponding …
intelligent surface (RIS) for dynamic beam tracking and implement the corresponding …
Passive radar at the roadside unit to configure millimeter wave vehicle-to-infrastructure links
Millimeter wave (mmWave) vehicular channels are highly dynamic, and the communication
link needs to be reconfigured frequently. In this work, we propose to use a passive radar …
link needs to be reconfigured frequently. In this work, we propose to use a passive radar …
MIG median detectors with manifold filter
X Hua, L Peng - Signal Processing, 2021 - Elsevier
In this paper, we propose a class of median-based matrix information geometry (MIG)
detectors with a manifold filter and apply them to signal detection in nonhomogeneous …
detectors with a manifold filter and apply them to signal detection in nonhomogeneous …
Deep learning based channel covariance matrix estimation with user location and scene images
Channel covariance matrix (CCM) is one critical parameter for designing the
communications systems. In this paper, a novel framework of the deep learning (DL) based …
communications systems. In this paper, a novel framework of the deep learning (DL) based …
Deep learning based channel extrapolation for large-scale antenna systems: Opportunities, challenges and solutions
With the depletion of spectrum, wireless communication systems turn to exploit large
antenna arrays to achieve the degree of freedom in the space domain, such as millimeter …
antenna arrays to achieve the degree of freedom in the space domain, such as millimeter …
PARAMOUNT: Towards generalizable deeP leARning for mmwAve beaM selectiOn using sUb-6GHz chaNnel measuremenTs
Deep neural networks (DNNs) in the wireless communication domain have been shown to
be hardly generalizable to scenarios where the train and test datasets follow a different …
be hardly generalizable to scenarios where the train and test datasets follow a different …
Deep learning-based link configuration for radar-aided multiuser mmWave vehicle-to-infrastructure communication
Configuring millimeter wave links following a conventional beam training protocol, as the
one proposed in the current cellular standard, introduces a large communication overhead …
one proposed in the current cellular standard, introduces a large communication overhead …