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 …

[HTML][HTML] A survey on deploying mobile deep learning applications: A systemic and technical perspective

Y Wang, J Wang, W Zhang, Y Zhan, S Guo… - Digital Communications …, 2022 - Elsevier
With the rapid development of mobile devices and deep learning, mobile smart applications
using deep learning technology have sprung up. It satisfies multiple needs of users, network …

[HTML][HTML] Machine learning for physical layer in 5G and beyond wireless networks: A survey

J Tanveer, A Haider, R Ali, A Kim - Electronics, 2021 - mdpi.com
Fifth-generation (5G) technology will play a vital role in future wireless networks. The
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …

Deep learning for wireless communications: An emerging interdisciplinary paradigm

L Dai, R Jiao, F Adachi, HV Poor… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
Wireless communications are envisioned to bring about dramatic changes in the future, with
a variety of emerging applications, such as virtual reality, Internet of Things, and so on …

Special issue on artificial intelligence and machine learning for networking and communications

P Chemouil, P Hui, W Kellerer, Y Li… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Research in large-scale networking systems has been shaped and will continue to be
guided by specific characteristics of applications and the underlying platforms and …

[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey

M Abbasi, A Shahraki, A Taherkordi - Computer Communications, 2021 - Elsevier
Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …

[HTML][HTML] Deep learning at the mobile edge: Opportunities for 5G networks

M McClellan, C Cervelló-Pastor, S Sallent - Applied Sciences, 2020 - mdpi.com
Mobile edge computing (MEC) within 5G networks brings the power of cloud computing,
storage, and analysis closer to the end user. The increased speeds and reduced delay …

State-of-the-art deep learning: Evolving machine intelligence toward tomorrow's intelligent network traffic control systems

ZM Fadlullah, F Tang, B Mao, N Kato… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Currently, the network traffic control systems are mainly composed of the Internet core and
wired/wireless heterogeneous backbone networks. Recently, these packet-switched …

When machine learning meets big data: A wireless communication perspective

Y Liu, S Bi, Z Shi, L Hanzo - IEEE Vehicular Technology …, 2019 - ieeexplore.ieee.org
We have witnessed an exponential growth in commercial data services, which has led to the
so-called big data era. Machine learning, one of the most promising artificial intelligence (AI) …

Deep learning for intelligent wireless networks: A comprehensive survey

Q Mao, F Hu, Q Hao - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
As a promising machine learning tool to handle the accurate pattern recognition from
complex raw data, deep learning (DL) is becoming a powerful method to add intelligence to …