Extreme ultra-reliable and low-latency communication

J Park, S Samarakoon, H Shiri, MK Abdel-Aziz… - Nature …, 2022 - nature.com
Ultra-reliable and low-latency communication (URLLC) is central to fifth-generation (5G)
communication systems, but the fundamentals of URLLC remain elusive. New immersive …

A review of deep learning in 5G research: Channel coding, massive MIMO, multiple access, resource allocation, and network security

A Ly, YD Yao - IEEE Open Journal of the Communications …, 2021 - ieeexplore.ieee.org
The current development of 5G technology is flourishing with widespread deployment
across the world at a rapid pace. However, there is still a demand concerning 5G research …

Sionna: An open-source library for next-generation physical layer research

J Hoydis, S Cammerer, FA Aoudia, A Vem… - arXiv preprint arXiv …, 2022 - arxiv.org
Sionna is a GPU-accelerated open-source library for link-level simulations based on
TensorFlow. It enables the rapid prototyping of complex communication system architectures …

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 …

Peer-to-peer federated continual learning for naturalistic driving action recognition

L Yuan, Y Ma, L Su, Z Wang - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Naturalistic driving action recognition (NDAR) has proven to be an effective method for
detecting driver distraction and reducing the risk of traffic accidents. However, the intrusive …

Vision-aided positioning and beam focusing for 6G terahertz communications

S Kim, J Moon, J Wu, B Shim… - IEEE Journal on Selected …, 2024 - ieeexplore.ieee.org
To meet the ever-increasing data rate demand expected in 6G networks, terahertz (THz)
ultra-massive (UM) multiple-input multiple-output (MIMO) systems have gained much …

Computer vision-aided mmWave UAV communication systems

Z Hua, Y Lu, G Pan, K Gao… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) communication systems usually operate in harsh scenarios,
which require accurate information about the topology and wireless channel to achieve the …

[HTML][HTML] A comprehensive survey on machine learning methods for handover optimization in 5G networks

SK Thillaigovindhan, M Roslee, SMI Mitani, AF Osman… - Electronics, 2024 - mdpi.com
One of the key features of mobile networks in this age of mobile communication is seamless
communication. Handover (HO) is a critical component of next-generation (NG) cellular …

BEST-RIM: a mmWave beam steering approach based on computer vision-enhanced reconfigurable intelligent metasurfaces

V Loscri, C Rizza, A Benslimane… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In this work, we consider Reconfigurable Intelligent Meta-surfaces (RIMs) to provide effective
beam steering functionality, while enhancing the coverage of the fifth generation (5G) users …

Joint sensing and communications for deep reinforcement learning-based beam management in 6g

Y Yao, H Zhou, M Erol-Kantarci - GLOBECOM 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
User location is a piece of critical information for network management and control.
However, location uncertainty is unavoidable in certain settings leading to localization …