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UAV Communications with Machine Learning


Advancing UAV Communications: A Comprehensive Survey of ...

This paper provides a comprehensive overview of the evolution of Machine Learning (ML), from traditional to advanced, in its application and ...

UAV Communications with Machine Learning: Challenges ...

This paper will mainly focus on the proposed UAV-centric ML solutions and their satisfaction with network requirements taking into consideration UAVs' roles.

Machine Learning-Aided Operations and Communications of ... - arXiv

The ongoing amalgamation of UAV and ML techniques is creating a significant synergy and empowering UAVs with unprecedented intelligence and ...

UAV Communications with Machine Learning: Challenges ...

This paper will mainly focus on the proposed UAV-centric ML solutions and their satisfaction with network requirements taking into consideration UAVs' roles ...

Unmanned Aerial Vehicle in the Machine Learning Environment

Liquid state machine learning for resource and cache management in LTE-U unmanned aerial vehicle (UAV) networks. IEEE Transactions on Wireless Communications ...

A UAV-Swarm-Communication Model Using a Machine-Learning ...

This paper presents a UAV-swarm-communication model using a machine-learning approach for search-and-rescue applications.

A Comprehensive Survey of Cutting-Edge Machine Learning ...

The manuscript starts with an overview of the existing research on UAV communication and introduces the most traditional ML techniques. It then ...

UAV Communications with Machine Learning - EBSCOhost

Revised Date: 07/2011 Accessibility Information and Tips Deducing Multidecadal Anthropogenic Global Warming Trends Using Multiple Regression Analysis

Machine Learning-Based Resource Allocation for Multi-UAV ...

The unmanned aerial vehicle (UAV)-based wireless communication system is prominent in its flexibility and low cost for providing ubiquitous connectivity.

Applications of Machine Learning in UAV Networks - IGI Global

She has served as Guest Editor for IEEE Communications Magazine, IEEE Network, Elsevier Ad Hoc Networks, and MDPI Drones. Dr Hassan is a Senior Member of the ...

Machine Learning-Aided Operations and Communications of ... - arXiv

Abstract—Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient, and cost-effective solutions for.

UAV assisted communication for ground users using machine ...

In this work, we develop a grid-based deep learning method using the LSTM model to estimate the number of ground users as vehicles in each area.

The Role of Machine Learning in UAV-Assisted Communication

The Role of Machine Learning in UAV-Assisted Communication: 10.4018/979-8-3693-0578-2.ch001: An unmanned aerial vehicle (UAV) is a pilotless aircraft that ...

A Survey on Machine-Learning Techniques for UAV-Based ...

Unmanned aerial vehicles (UAVs) will be an integral part of the next generation wireless communication networks. Their adoption in various ...

Machine learning-based approaches for handover decision of ...

Cellular-assisted drone communication. Also referred to as cellular-connected drones, drone-UE, or aerial user. This paradigm has recently attracted a lot of ...

AI-Enabled UAV Communications: Challenges and Future Directions

Besides, we deliver a comprehensive summary of machine learning (ML) approaches, including their applications and valuable contributions towards effective UAV ...

UAV Communications with Machine Learning - EBSCOhost

UAV Communications with Machine Learning: Challenges,. Applications and Open Issues. Sana Ben Aissa1. · Asma Ben Letaifa1. Received: 17 March 2021 / Accepted ...

Systematic Literature Review on the Machine Learning Techniques ...

The application of machine learning (ML) solutions in UAV-assisted 5G communication can bring significant benefits to 5G and beyond 5G ...

AI-Enabled UAV Communications: Challenges and Future Directions

This article summarizes AI-aided UAV solutions designated for forthcoming wireless networks. Besides, we deliver a comprehensive summary of machine learning (ML) ...

Machine Learning Techniques for UAV-assisted Networks

Keywords : Cellular Networks, Wireless Communication, Unmanned aerial vehicle (UAV), Machine. Learning (ML), Reinforcement learning (RL), Dual- ...