A tutorial on ultrareliable and low-latency communications in 6G: Integrating domain knowledge into deep learning

C She, C Sun, Z Gu, Y Li, C Yang… - Proceedings of the …, 2021 - ieeexplore.ieee.org
As one of the key communication scenarios in the fifth-generation and also the sixth-
generation (6G) mobile communication networks, ultrareliable and low-latency …

Deep learning in mobile and wireless networking: A survey

C Zhang, P Patras, H Haddadi - IEEE Communications surveys …, 2019 - ieeexplore.ieee.org
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities

A Capponi, C Fiandrino, B Kantarci… - … surveys & tutorials, 2019 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …

A survey of 5G network systems: challenges and machine learning approaches

H Fourati, R Maaloul, L Chaari - International Journal of Machine Learning …, 2021 - Springer
Abstract 5G cellular networks are expected to be the key infrastructure to deliver the
emerging services. These services bring new requirements and challenges that obstruct the …

Lumos5G: Mapping and predicting commercial mmWave 5G throughput

A Narayanan, E Ramadan, R Mehta, X Hu… - Proceedings of the …, 2020 - dl.acm.org
The emerging 5G services offer numerous new opportunities for networked applications. In
this study, we seek to answer two key questions: i) is the throughput of mmWave 5G …

Vehicular intelligence in 6G: Networking, communications, and computing

H Guo, X Zhou, J Liu, Y Zhang - Vehicular Communications, 2022 - Elsevier
With the deployment of 5G, researchers and experts begin to look forward to 6G. They
predict that 6G will be the key driving force for information interaction and social life after …

Toward haptic communications over the 5G tactile Internet

K Antonakoglou, X Xu, E Steinbach… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Touch is currently seen as the modality that will complement audition and vision as a third
media stream over the Internet in a variety of future haptic applications which will allow full …

Throughput prediction using machine learning in LTE and 5G networks

D Minovski, N Ögren, K Mitra… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The emergence of novel cellular network technologies, within 5G, are envisioned as key
enablers of a new set of use-cases, including industrial automation, intelligent …

Machine learning for cognitive network management

S Ayoubi, N Limam, MA Salahuddin… - IEEE …, 2018 - ieeexplore.ieee.org
Over the last decade, a significant amount of effort has been invested on architecting agile
and adaptive management solutions in support of autonomic, self-managing networks …

Disaster and pandemic management using machine learning: a survey

V Chamola, V Hassija, S Gupta, A Goyal… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
This article provides a literature review of state-of-the-art machine learning (ML) algorithms
for disaster and pandemic management. Most nations are concerned about disasters and …