What will the future of UAV cellular communications be? A flight from 5G to 6G
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 …
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
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 …
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
Terrestrial communication networks mainly focus on users in urban areas but have poor
coverage performance in harsh environments, such as mountains, deserts, and oceans …
coverage performance in harsh environments, such as mountains, deserts, and oceans …
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 …
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
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 …
latency, the ongoing deployment of Fifth-Generation (5G) systems is continuously exposing …
Generative-adversarial-network-based wireless channel modeling: Challenges and opportunities
In modern wireless communication systems, wireless channel modeling has always been a
fundamental task in system design and performance optimization. Traditional channel …
fundamental task in system design and performance optimization. Traditional channel …
Channel measurements and models for 6G: current status and future outlook
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 …
generation (6G) networks has been launched to meet the demands for high data rates and …
[HTML][HTML] Application of reinforcement learning and deep learning in multiple-input and multiple-output (MIMO) systems
The current wireless communication infrastructure has to face exponential development in
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …
Deep-learning-based spatial–temporal channel prediction for smart high-speed railway communication networks
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 …
native communication networks for smart high-speed railways (HSRs). This paper …
Deep reinforcement learning for dynamic spectrum sensing and aggregation in multi-channel wireless networks
Y Li, W Zhang, CX Wang, J Sun… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, the problem of dynamic spectrum sensing and aggregation is investigated in a
wireless network containing N correlated channels, where these channels are occupied or …
wireless network containing N correlated channels, where these channels are occupied or …