Generative AI Empowered Network Digital Twins: Architecture, Technologies, and Applications

T Li, Q Long, H Chai, S Zhang, F Jiang, H Liu… - ACM Computing …, 2025‏ - dl.acm.org
The rapid advancement of mobile networks highlights the limitations of traditional network
planning and optimization methods, particularly in modeling, evaluation, and application …

AI-driven approaches for optimizing power consumption: a comprehensive survey

P Biswas, A Rashid, A Biswas, MAA Nasim… - Discover Artificial …, 2024‏ - Springer
Reduced environmental impacts, lower operating costs, and a stable, sustainable energy
supply for current and future generations are the main reasons why power optimization is …

Secure Internet Financial Transactions: A framework integrating multi-factor authentication and Machine Learning

AHM Aburbeian, M Fernández-Veiga - AI, 2024‏ - mdpi.com
Securing online financial transactions has become a critical concern in an era where
financial services are becoming more and more digital. The transition to digital platforms for …

Towards efficient 6G IoT networks: A perspective on resource optimization strategies, challenges, and future directions

Z Liwen, F Qamar, M Liaqat, MN Hindia… - IEEE Access, 2024‏ - ieeexplore.ieee.org
The next generation (6G) wireless communication technology has super advantages in high
transmission rates scenarios. Internet of Things (IoT) has been applied in recent years due …

Towards sustainable 5G networks: A proposed coordination solution for macro and pico cells to optimize energy efficiency

M Fall, Y Balboul, M Fattah, S Mazer, M El Bekkali… - IEEE …, 2023‏ - ieeexplore.ieee.org
The 5th generation of mobile communications, currently being rolled out, aims to improve
network performance and efficiency over the older generations. With mmWaves, densified …

Intelligent computational model for energy efficiency and AI automation of network devices in 5G communication environment

A Bagwari, J Logeshwaran, M Raja… - Tsinghua Science …, 2024‏ - ieeexplore.ieee.org
Currently, the 4G network service has caused massive digital growth in high use. Video
calling has become the go-to Internet application for many people, downloading even huge …

[HTML][HTML] Deep learning in the ubiquitous human–computer interactive 6G era: Applications, principles and prospects

C Chen, H Zhang, J Hou, Y Zhang, H Zhang, J Dai… - Biomimetics, 2023‏ - mdpi.com
With the rapid development of enabling technologies like VR and AR, we human beings are
on the threshold of the ubiquitous human-centric intelligence era. 6G is believed to be an …

A Survey on AI-driven Energy Optimisation in Terrestrial Next Generation Radio Access Networks

K Sthankiya, N Saeed, G McSorley, M Jaber… - IEEE …, 2024‏ - ieeexplore.ieee.org
This survey uncovers the tension between AI techniques designed for energy saving in
mobile networks and the energy demands those same techniques create. We compare …

[HTML][HTML] Joint latency-oriented, energy consumption, and carbon emission for a space–air–ground integrated network with newly designed power technology

Y Wang, B Li, J He, J Dai, Y Liu, Y Yang - Electronics, 2023‏ - mdpi.com
Ubiquitous connectivity is envisaged for the space–air–ground-integrated network (SAGIN)
of future communication to meet the needs of quality of service (QoS), green communication …

Transient analysis of energy-saving strategy for cognitive radio networks using G-queue with heterogeneity

R Kulshrestha, A Singh - Computer Communications, 2024‏ - Elsevier
Energy efficiency, high data speeds, and effective spectrum utilization stand as the primary
factors governing 5G and beyond networks. A base station (BS) in a cognitive radio network …