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 …

Comprehensive survey on self-organizing cellular network approaches applied to 5G networks

H Fourati, R Maaloul, L Chaari, M Jmaiel - Computer Networks, 2021 - Elsevier
Abstract Self-Organizing Network (SON) stands for a key concept characterizing the
behavior of the future mobile networks. The evolution of telecom infrastructures towards 5G …

Machine learning for service migration: a survey

N Toumi, M Bagaa, A Ksentini - IEEE Communications Surveys …, 2023 - ieeexplore.ieee.org
Future communication networks are envisioned to satisfy increasingly granular and dynamic
requirements to accommodate the application and user demands. Indeed, novel immersive …

6G service coverage with mega satellite constellations

M Sheng, D Zhou, W Bai, J Liu, J Li - China Communications, 2022 - ieeexplore.ieee.org
The rapid development and continuous updating of the mega satellite constellation (MSC)
have brought new visions for the future 6G coverage extension, where the global seamless …

A survey on how network simulators serve reinforcement learning in wireless networks

S Ergun, I Sammour, G Chalhoub - Computer Networks, 2023 - Elsevier
Rapid adoption of mobile devices, coupled with the increase in prominence of mobile
applications and services, resulted in unprecedented infrastructure requirements for mobile …

Recent advances in machine learning for network automation in the o-ran

MQ Hamdan, H Lee, D Triantafyllopoulou, R Borralho… - Sensors, 2023 - mdpi.com
The evolution of network technologies has witnessed a paradigm shift toward open and
intelligent networks, with the Open Radio Access Network (O-RAN) architecture emerging as …

Defensive distillation-based adversarial attack mitigation method for channel estimation using deep learning models in next-generation wireless networks

FO Catak, M Kuzlu, E Catak, U Cali, O Guler - IEEE Access, 2022 - ieeexplore.ieee.org
Future wireless networks (5G and beyond), also known as Next Generation or NextG, are
the vision of forthcoming cellular systems, connecting billions of devices and people …

Effective data optimization and evaluation based on social communication with AI‐assisted in opportunistic social networks

L Li, F Gou, H Long, K He, J Wu - … Communications and Mobile …, 2022 - Wiley Online Library
Billions of people around the world send and receive data over online networks daily.
Sufficient and redundant data are transmitted over social platforms with AI‐assisted in 5G …

Digital twin constructed spatial structure for flexible and efficient task allocation of drones in mobile networks

B Yi, J Lv, J Chen, X Wang, K Li - IEEE Journal on Selected …, 2023 - ieeexplore.ieee.org
Applying the Multiple Drones System (MDS) to perform the repetitive and dangerous tasks
for human in many complex environments has become a trend all around the world, due to …

Challenges in meeting QoS requirements toward 6G wireless networks: A state of the art survey

R Ahmed, MR Mahmood… - Transactions on Emerging …, 2023 - Wiley Online Library
The 6G wireless network with its superior capabilities must be considered to accommodate
the much more stringent quality of service (QoS) requirements of the numerous emerging …