AI models for green communications towards 6G

B Mao, F Tang, Y Kawamoto… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Green communications have always been a target for the information industry to alleviate
energy overhead and reduce fossil fuel usage. In the current 5G and future 6G eras, there is …

Wireless powered mobile edge computing networks: A survey

X Wang, J Li, Z Ning, Q Song, L Guo, S Guo… - ACM Computing …, 2023 - dl.acm.org
Wireless Powered Mobile Edge Computing (WPMEC) is an integration of Mobile Edge
Computing (MEC) and Wireless Power Transfer (WPT) technologies, to both improve …

[HTML][HTML] Survey on computation offloading in UAV-Enabled mobile edge computing

SMA Huda, S Moh - Journal of Network and Computer Applications, 2022 - Elsevier
With the increasing growth of internet-of-things (IoT) devices, effective computation
performance has become a critical issue. Many services provided by IoT devices (eg …

A survey of incentive mechanism design for federated learning

Y Zhan, J Zhang, Z Hong, L Wu, P Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Federated learning is promising in enabling large-scale machine learning by massive
clients without exposing their raw data. It can not only enable the clients to preserve the …

Single and multi-agent deep reinforcement learning for AI-enabled wireless networks: A tutorial

A Feriani, E Hossain - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
Deep Reinforcement Learning (DRL) has recently witnessed significant advances that have
led to multiple successes in solving sequential decision-making problems in various …

Reducing offloading latency for digital twin edge networks in 6G

W Sun, H Zhang, R Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
6G is envisioned to empower wireless communication and computation through the
digitalization and connectivity of everything, by establishing a digital representation of the …

Blockchain and federated learning for collaborative intrusion detection in vehicular edge computing

H Liu, S Zhang, P Zhang, X Zhou… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The vehicular networks constructed by interconnected vehicles and transportation
infrastructure are vulnerable to cyber-intrusions due to the expanded use of software and the …

Mobile edge computing and machine learning in the internet of unmanned aerial vehicles: a survey

Z Ning, H Hu, X Wang, L Guo, S Guo, G Wang… - ACM Computing …, 2023 - dl.acm.org
Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …

Toward enabled industrial verticals in 5G: A survey on MEC-based approaches to provisioning and flexibility

F Spinelli, V Mancuso - IEEE Communications Surveys & …, 2020 - ieeexplore.ieee.org
The increasing number of heterogeneous devices connected to the Internet, together with
tight 5G requirements have generated new challenges for designing network infrastructures …

Zero touch management: A survey of network automation solutions for 5G and 6G networks

E Coronado, R Behravesh… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Mobile networks are facing an unprecedented demand for high-speed connectivity
originating from novel mobile applications and services and, in general, from the adoption …