What will the future of UAV cellular communications be? A flight from 5G to 6G

G Geraci, A Garcia-Rodriguez, MM Azari… - … surveys & tutorials, 2022 - ieeexplore.ieee.org
What will the future of UAV cellular communications be? In this tutorial article, we address
such a compelling yet difficult question by embarking on a journey from 5G to 6G and …

Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning

S Szott, K Kosek-Szott, P Gawłowicz… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …

5G embraces satellites for 6G ubiquitous IoT: Basic models for integrated satellite terrestrial networks

X Fang, W Feng, T Wei, Y Chen, N Ge… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Terrestrial communication networks mainly focus on users in urban areas but have poor
coverage performance in harsh environments, such as mountains, deserts, and oceans …

Generative-adversarial-network-based wireless channel modeling: Challenges and opportunities

Y Yang, Y Li, W Zhang, F Qin, P Zhu… - IEEE Communications …, 2019 - ieeexplore.ieee.org
In modern wireless communication systems, wireless channel modeling has always been a
fundamental task in system design and performance optimization. Traditional channel …

Intelligent network data analytics function in 5G cellular networks using machine learning

S Sevgican, M Turan, K Gökarslan… - Journal of …, 2020 - ieeexplore.ieee.org
5G cellular networks come with many new features compared to the legacy cellular
networks, such as network data analytics function (NWDAF), which enables the network …

[HTML][HTML] Issues, challenges, and research trends in spectrum management: A comprehensive overview and new vision for designing 6G networks

F Qamar, MUA Siddiqui, MHDN Hindia, R Hassan… - Electronics, 2020 - mdpi.com
With an extensive growth in user demand for high throughput, large capacity, and low
latency, the ongoing deployment of Fifth-Generation (5G) systems is continuously exposing …

Deep-learning-based spatial–temporal channel prediction for smart high-speed railway communication networks

T Zhou, H Zhang, B Ai, C Xue… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Intelligent channel prediction plays a key role in artificial intelligence (AI)-optimized or AI-
native communication networks for smart high-speed railways (HSRs). This paper …

EM DeepRay: An expedient, generalizable, and realistic data-driven indoor propagation model

S Bakirtzis, J Chen, K Qiu, J Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Efficient and realistic indoor radio propagation modeling tools are inextricably intertwined
with the design and operation of next-generation wireless networks. Machine-learning (ML) …

Channel measurements and models for 6G: current status and future outlook

J Zhang, P Tang, L Yu, T Jiang, L Tian - Frontiers of information technology …, 2020 - Springer
With the commercialization of fifth generation networks worldwide, research into sixth
generation (6G) networks has been launched to meet the demands for high data rates and …

THz channel sounding and modeling techniques: An overview

A Ghosh, M Kim - IEEE Access, 2023 - ieeexplore.ieee.org
As the world warms up to the idea of millimeter wave (mmWave) communication and fifth
generation (5G) mobile networks, realization slowly dawns that the data rate, latency …