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 …

Enabling AI in future wireless networks: A data life cycle perspective

DC Nguyen, P Cheng, M Ding… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Recent years have seen rapid deployment of mobile computing and Internet of Things (IoT)
networks, which can be mostly attributed to the increasing communication and sensing …

Deep learning for B5G open radio access network: Evolution, survey, case studies, and challenges

B Brik, K Boutiba, A Ksentini - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
Open Radio Access Network (O-RAN) alliance was recently launched to devise a new RAN
architecture featuring open, software-driven, virtual, and intelligent radio access architecture …

[HTML][HTML] Multi-connectivity for 5G networks and beyond: A survey

T Sylla, L Mendiboure, S Maaloul, H Aniss, MA Chalouf… - Sensors, 2022 - mdpi.com
To manage a growing number of users and an ever-increasing demand for bandwidth,
future 5th Generation (5G) cellular networks will combine different radio access technologies …

Exploring trajectory prediction through machine learning methods

C Wang, L Ma, R Li, TS Durrani, H Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
Human mobility prediction is of great importance in a wide range of modern applications in
different fields such as personalized recommendation systems, the fifth-generation (5G) …

[HTML][HTML] When 5G meets deep learning: a systematic review

GL Santos, PT Endo, D Sadok, J Kelner - Algorithms, 2020 - mdpi.com
This last decade, the amount of data exchanged on the Internet increased by over a
staggering factor of 100, and is expected to exceed well over the 500 exabytes by 2020. This …

AI/ML for beyond 5G systems: Concepts, technology enablers & solutions

T Taleb, C Benzaïd, RA Addad, K Samdanis - Computer Networks, 2023 - Elsevier
Abstract 5G brought an evolution on the network architecture employing the service-based
paradigm, enabling flexibility in realizing customized services across different technology …

AutoMEC: LSTM-based user mobility prediction for service management in distributed MEC resources

U Fattore, M Liebsch, B Brik, A Ksentini - Proceedings of the 23rd …, 2020 - dl.acm.org
The 5th generation of the cellular mobile communication system (5G) is in the meantime
stepwise being deployed in mobile carriers' infrastructure. Various standardization tracks as …

Handover management for next-generation wireless networks: A brief overview

Ş Sönmez, I Shayea, SA Khan… - 2020 IEEE Microwave …, 2020 - ieeexplore.ieee.org
The importance of Heterogeneous Networks (HetNets) is increased after enabling the high
band spectrum such as millimeter Wave (mmWave), in the development of the Fifth …

Double‐deep Q‐learning‐based handover management in mmWave heterogeneous networks with dual connectivity

H Wang, B Li - Transactions on Emerging Telecommunications …, 2024 - Wiley Online Library
Millimeter wave (mmWave) technology, with its abundant spectrum resources and ultra‐high
bandwidth, plays a crucial role in meeting the ultra‐high throughput requirements of future …