Advanced Machine Learning for 6G Networks

HN Chu - 2024 - opus.lib.uts.edu.au
Beyond 5G and 6G communications are foreseen to transform the world, connecting not only
people but also vehicles, wearables, devices, sensors, and even physical and digital worlds …

Partially explainable big data driven deep reinforcement learning for green 5G UAV

W Guo - ICC 2020-2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
UAV enabled terrestrial wireless networks enables targeted user-centric service
provisioning to en-richen both deep urban coverage and target various rural challenge …

Deep learning for energy-efficient beyond 5G networks

A Zappone, M Di Renzo… - … for Energy-Efficient …, 2020 - centralesupelec.hal.science
Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …

Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques

C Sun, G Fontanesi, B Canberk… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
This paper provides a comprehensive overview of the evolution of Machine Learning (ML),
from traditional to advanced, in its application and integration into unmanned aerial vehicle …

Intelligent Beyond 5G Systems: Upcoming Wireless Communication Systems

JA Desai, SD Markande - ICCCE 2021: Proceedings of the 4th …, 2022 - Springer
The beyond 5G systems are responsible for smart connectivity of the world. They will provide
a wireless connectivity indoor as well as outdoor including the manmade structures like …

Learning-Based Approaches for Next-Generation Intelligent Networks

L Zhang - 2022 - repository.kaust.edu.sa
The next-generation (6G) networks promise to provide extended 5G capabilities with
enhanced performance at high data rates, low latency, low energy consumption, and rapid …

UAV path planning for wireless data harvesting: A deep reinforcement learning approach

H Bayerlein, M Theile, M Caccamo… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Autonomous deployment of unmanned aerial vehicles (UAVs) supporting next-generation
communication networks requires efficient trajectory planning methods. We propose a new …

Data Harvesting and Path Planning in UAV-aided Internet-of-Things Wireless Networks with Reinforcement Learning: KTH Thesis Report

Y Zhang - 2023 - diva-portal.org
In recent years, Unmanned aerial vehicles (UAVs) have developed rapidly due to advances
in aerospace technology, and wireless communication systems. As a result of their …

Federated learning for UAVs-enabled wireless networks: Use cases, challenges, and open problems

B Brik, A Ksentini, M Bouaziz - IEEE Access, 2020 - ieeexplore.ieee.org
The use of Unmanned Aerial Vehicles (UAVs) for wireless networks is rapidly growing as
key enablers of new applications, including: surveillance and monitoring, military, delivery of …

6G Edge-Networks and Multi-UAV Knowledge Fusion for Urban Autonomous Vehicles

MW Nawaz, W Zhang, L Zhang, D Flynn, R Swash… - Authorea …, 2024 - techrxiv.org
The advent of 6G wireless networks has the potential to unlock diverse applications of
scalable autonomy. By advantageously coupling the individual and aggregated attributes of …