Deep learning-based mmWave beam selection for 5G NR/6G with sub-6 GHz channel information: Algorithms and prototype validation

MS Sim, YG Lim, SH Park, L Dai, CB Chae - IEEE Access, 2020 - ieeexplore.ieee.org
In fifth-generation (5G) communications, millimeter wave (mmWave) is one of the key
technologies to increase the data rate. To overcome this technology's poor propagation …

Error bounds for uplink and downlink 3D localization in 5G millimeter wave systems

Z Abu-Shaban, X Zhou, T Abhayapala… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Location-aware communication systems are expected to play a pivotal part in the next
generation of mobile communication networks. Therefore, there is a need to understand the …

Inverse multipath fingerprinting for millimeter wave V2I beam alignment

V Va, J Choi, T Shimizu, G Bansal… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Efficient beam alignment is a crucial component in millimeter wave systems with analog
beamforming, especially in fast-changing vehicular settings. This paper proposes to use the …

LIDAR data for deep learning-based mmWave beam-selection

A Klautau, N González-Prelcic… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
Millimeter wave (mmWave) communication systems can leverage information from sensors
to reduce the overhead associated with link configuration. Light detection and ranging …

Joint communication and localization in millimeter wave networks

G Kwon, A Conti, H Park, MZ Win - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
Joint communication and localization will be a key in beyond 5G networks for emerging
context-aware applications such as Internet-of-Things and autonomous vehicles. In …

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 …

Enabling situational awareness in millimeter wave massive MIMO systems

R Mendrzik, F Meyer, G Bauch… - IEEE Journal of Selected …, 2019 - ieeexplore.ieee.org
Situational awareness in wireless networks refers to the availability of position information
on transmitters and receivers as well as information on their propagation environments to …

Online learning for position-aided millimeter wave beam training

V Va, T Shimizu, G Bansal, RW Heath - IEEE Access, 2019 - ieeexplore.ieee.org
Accurate beam alignment is essential for the beam-based millimeter wave communications.
The conventional beam sweeping solutions often have large overhead, which is …

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 …

Intelligent interactive beam training for millimeter wave communications

J Zhang, Y Huang, J Wang, X You… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Millimeter wave communications, equipped with large-scale antenna arrays, are able to
provide Gbps data rates by exploring abundant spectrum resources. However, the use of a …