Towards autonomous multi-UAV wireless network: A survey of reinforcement learning-based approaches

Y Bai, H Zhao, X Zhang, Z Chang… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-based wireless networks have received increasing
research interest in recent years and are gradually being utilized in various aspects of our …

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 …

UAV-assisted task offloading in vehicular edge computing networks

X Dai, Z Xiao, H Jiang, JCS Lui - IEEE Transactions on Mobile …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) provides an effective task offloading paradigm by pushing
cloud resources to the vehicular network edges, eg, road side units (RSUs). However …

AI for UAV-assisted IoT applications: A comprehensive review

N Cheng, S Wu, X Wang, Z Yin, C Li… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT), there are a dramatically
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …

Energy efficient computation offloading in aerial edge networks with multi-agent cooperation

W Liu, B Li, W Xie, Y Dai, Z Fei - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
With the high flexibility of supporting resource-intensive and time-sensitive applications,
unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) is proposed as an …

Edge-cloud polarization and collaboration: A comprehensive survey for ai

J Yao, S Zhang, Y Yao, F Wang, J Ma… - … on Knowledge and …, 2022 - ieeexplore.ieee.org
Influenced by the great success of deep learning via cloud computing and the rapid
development of edge chips, research in artificial intelligence (AI) has shifted to both of the …

[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems

İ Yazici, I Shayea, J Din - … Science and Technology, an International Journal, 2023 - Elsevier
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …

Deep reinforcement learning based computation offloading and trajectory planning for multi-UAV cooperative target search

Q Luo, TH Luan, W Shi, P Fan - IEEE Journal on Selected …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are widely used for surveillance and monitoring to
complete target search tasks. However, the short battery life and moderate computational …

Multi-UAV cooperative task offloading and resource allocation in 5G advanced and beyond

H Guo, Y Wang, J Liu, C Liu - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
In 5G advanced and beyond, latency-critical and computation-intensive applications require
more communication and computing resources. However, remote areas without available …

Emerging technologies for 6G communication networks: Machine learning approaches

AA Puspitasari, TT An, MH Alsharif, BM Lee - Sensors, 2023 - mdpi.com
The fifth generation achieved tremendous success, which brings high hopes for the next
generation, as evidenced by the sixth generation (6G) key performance indicators, which …