A tutorial on environment-aware communications via channel knowledge map for 6G

Y Zeng, J Chen, J Xu, D Wu, X Xu, S Jin… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Sixth-generation (6G) mobile communication networks are expected to have dense
infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified …

Intelligent multi-modal sensing-communication integration: Synesthesia of machines

X Cheng, H Zhang, J Zhang, S Gao, S Li… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
In the era of sixth-generation (6G) wireless communications, integrated sensing and
communications (ISAC) is recognized as a promising solution to upgrade the physical …

A survey of machine learning applications to handover management in 5G and beyond

MS Mollel, AI Abubakar, M Ozturk, SF Kaijage… - IEEE …, 2021 - ieeexplore.ieee.org
Handover (HO) is one of the key aspects of next-generation (NG) cellular communication
networks that need to be properly managed since it poses multiple threats to quality-of …

Computer vision aided mmWave beam alignment in V2X communications

W Xu, F Gao, X Tao, J Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Visual information, captured for example by cameras, can effectively reflect the sizes and
locations of the environmental scattering objects, and thereby can be used to infer …

Flash: Federated learning for automated selection of high-band mmwave sectors

B Salehi, J Gu, D Roy… - IEEE INFOCOM 2022 …, 2022 - ieeexplore.ieee.org
Fast sector-steering in the mmWave band for vehicular mobility scenarios remains an open
challenge. This is because standard-defined exhaustive search over predefined antenna …

Deep learning on multimodal sensor data at the wireless edge for vehicular network

B Salehi, G Reus-Muns, D Roy, Z Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Beam selection for millimeter-wave links in a vehicular scenario is a challenging problem, as
an exhaustive search among all candidate beam pairs cannot be assuredly completed …

3D scene-based beam selection for mmWave communications

W Xu, F Gao, S Jin, A Alkhateeb - IEEE Wireless …, 2020 - ieeexplore.ieee.org
In this letter, we present a novel framework of 3D scene based beam selection for mmWave
communications that relies only on the environmental data and deep learning techniques …

Federated mmWave beam selection utilizing LIDAR data

MB Mashhadi, M Jankowski, TY Tung… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Efficient link configuration in millimeter wave (mmWave) communication systems is a crucial
yet challenging task due to the overhead imposed by beam selection. For vehicle-to …

LIDAR and position-aided mmWave beam selection with non-local CNNs and curriculum training

M Zecchin, MB Mashhadi, M Jankowski… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Efficient millimeter wave (mmWave) beam selection in vehicle-to-infrastructure (V2I)
communication is a crucial yet challenging task due to the narrow mmWave beamwidth and …

Location-and orientation-aided millimeter wave beam selection using deep learning

S Rezaie, CN Manchón… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Location-aided beam alignment methods exploit the user location and prior knowledge of
the propagation environment to identify the beam directions that are more likely to maximize …