UAV Network

UAV networks are being extensively researched to optimize communication, computation, and surveillance capabilities of multiple unmanned aerial vehicles. Current research focuses on improving network performance through intelligent trajectory planning (often using reinforcement learning and graph neural networks), efficient resource allocation, and robust security mechanisms against various attacks (including jamming and data breaches). These advancements are crucial for enhancing the reliability and effectiveness of UAV applications in diverse fields like search and rescue, environmental monitoring, and public safety, driving significant progress in both theoretical understanding and practical deployment of UAV technologies.

Papers

January 17, 2024

Technical Report: On the Convergence of Gossip Learning in the Presence of Node Inaccessibility
Tian Liu, Yue Cui, Xueyang Hu, Yecheng Xu, Bo Liu
Early Stage Convergence Speech Presence Technical Report Wireless Network Dynamic Network UAV Network Malicious Node Gossip Learning

December 8, 2023

Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning
Chris Hicks, Vasilios Mavroudis, Myles Foley, Thomas Davies, Kate Highnam, Tim Watson
Deep Reinforcement Learning Multi Agent Deep Reinforcement Learning Deep Reinforcement UAV Network Sophisticated Agent Bell and Whistle Network Resilience

December 7, 2023

A Novel Federated Learning-Based IDS for Enhancing UAVs Privacy and Security
Ozlem Ceviz, Pinar Sadioglu, Sevil Sen, Vassilios G. Vassilakis
Federated Learning Security Related Intrusion Detection Network Intrusion Detection UAV Network

November 25, 2023

November 14, 2023

Fairness-Driven Optimization of RIS-Augmented 5G Networks for Seamless 3D UAV Connectivity Using DRL Algorithms
Yu Tian, Ahmed Alhammadi, Jiguang He, Aymen Fakhreddine, Faouzi Bader
Unmanned Aerial Vehicle Signal to Noise Ratio Multiple Unmanned Aerial Vehicle G Network UAV Network Massive MIMO DRL Algorithm

November 6, 2023

Resilient Mobile Multi-Target Surveillance Using Multi-Hop Autonomous UAV Networks for Extended Lifetime
Abdulsamet Dağaşan, Ezhan Karaşan
Unmanned Aerial Vehicle Performance Improvement Multi Hop UAV Network Multi Target Tracking Surveillance Application UAV Relay System Resilience

October 25, 2023

Imperfect Digital Twin Assisted Low Cost Reinforcement Training for Multi-UAV Networks
Xiucheng Wang, Nan Cheng, Longfei Ma, Zhisheng Yin, Tom. Luan, Ning Lu
Reinforcement Learning Deep Reinforcement Learning Unmanned Aerial Vehicle Digital Twin Various Fast Moving Drone UAV Network

August 19, 2023

Dronevision: An Experimental 3D Testbed for Flying Light Specks
Hamed Alimohammadzadeh, Rohit Bernard, Yang Chen, Trung Phan, Prashant Singh, Shuqin Zhu, Heather Culbertson, Shahram Ghandeharizadeh
Single Drone UAV Network Sized Drone Drone Camera 3D Simulator Laboratory Robotics

August 14, 2023

Routing Recovery for UAV Networks with Deliberate Attacks: A Reinforcement Learning based Approach
Sijie He, Ziye Jia, Chao Dong, Wei Wang, Yilu Cao, Yang Yang, Qihui Wu
Reinforcement Learning Constructive Approach Various Fast Moving Drone Network Topology UAV Network Attack Model Improved Route Multiple Attack

August 9, 2023

Collaborative Wideband Spectrum Sensing and Scheduling for Networked UAVs in UTM Systems
Sravan Reddy Chintareddy, Keenan Roach, Kenny Cheung, Morteza Hashemi
Task Scheduling UAV Network Spectrum Sensing Aircraft System Traffic Management

July 24, 2023

Multi-UAV Speed Control with Collision Avoidance and Handover-aware Cell Association: DRL with Action Branching
Zijiang Yan, Wael Jaafar, Bassant Selim, Hina Tabassum
Collision Avoidance Various Fast Moving Drone Action Feature Robot Handover UAV Network Double Deep Q Network Ga DRL Reinforcement Learning Solution Latent Space Communication

May 11, 2023

Deep Reinforcement Learning for Interference Management in UAV-based 3D Networks: Potentials and Challenges
Mojtaba Vaezi, Xingqin Lin, Hongliang Zhang, Walid Saad, H. Vincent Poor
Deep Reinforcement Learning Technical Challenge Unmanned Aerial Vehicle Full Potential Catastrophic Interference UAV Network Interference Management

April 13, 2023

Decentralized federated learning methods for reducing communication cost and energy consumption in UAV networks
Deng Pan, Mohammad Ali Khoshkholghi, Toktam Mahmoodi
Single Drone Energy Consumption Decentralized Federated Learning Decentralized FL UAV Network Learning Method Communication Cost

January 17, 2023

Event-Triggered Optimal Formation Tracking Control Using Reinforcement Learning for Large-Scale UAV Systems
Ziwei Yan, Liang Han, Xiaoduo Li, Jinjie Li, Zhang Ren
Reinforcement Learning UAV Network Drone Swarm Leader Follower Formation

January 16, 2023

A$^2$-UAV: Application-Aware Content and Network Optimization of Edge-Assisted UAV Systems
Andrea Coletta, Flavio Giorgi, Gaia Maselli, Matteo Prata, Domenicomichele Silvestri, Jonathan Ashdown, Francesco Restuccia
Unmanned Aerial Vehicle Domain Specific UAV Network Network Optimization

December 29, 2022

Characterization of the Global Bias Problem in Aerial Federated Learning
Ruslan Zhagypar, Nour Kouzayha, Hesham ElSawy, Hayssam Dahrouj, Tareq Y. Al-Naffouri
New Characterization UAV Network Unbiased SGG

October 10, 2022

FedBA: Non-IID Federated Learning Framework in UAV Networks
Pei Li, Zhijun Liu, Luyi Chang, Jialiang Peng, Yi Wu
Federated Learning Single Drone UAV Network

September 30, 2022

Communication-Enabled Deep Reinforcement Learning to Optimise Energy-Efficiency in UAV-Assisted Networks
Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
Reinforcement Learning Network Programming Energy Efficiency Multiple Unmanned Aerial Vehicle UAV Network Autonomous Micro Aerial Vehicle

UAV Network

Papers

Technical Report: On the Convergence of Gossip Learning in the Presence of Node Inaccessibility

Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning

A Novel Federated Learning-Based IDS for Enhancing UAVs Privacy and Security

Capacity and Delay of Unmanned Aerial Vehicle Networks with Mobility

Spectrum Sharing between UAV-based Wireless Mesh Networks and Ground Networks

The Performance Analysis of Spectrum Sharing between UAV enabled Wireless Mesh Networks and Ground Networks

Fairness-Driven Optimization of RIS-Augmented 5G Networks for Seamless 3D UAV Connectivity Using DRL Algorithms

Resilient Mobile Multi-Target Surveillance Using Multi-Hop Autonomous UAV Networks for Extended Lifetime

Imperfect Digital Twin Assisted Low Cost Reinforcement Training for Multi-UAV Networks

Dronevision: An Experimental 3D Testbed for Flying Light Specks

Routing Recovery for UAV Networks with Deliberate Attacks: A Reinforcement Learning based Approach

Collaborative Wideband Spectrum Sensing and Scheduling for Networked UAVs in UTM Systems

Multi-UAV Speed Control with Collision Avoidance and Handover-aware Cell Association: DRL with Action Branching

Deep Reinforcement Learning for Interference Management in UAV-based 3D Networks: Potentials and Challenges

Decentralized federated learning methods for reducing communication cost and energy consumption in UAV networks

Event-Triggered Optimal Formation Tracking Control Using Reinforcement Learning for Large-Scale UAV Systems

A$^2$-UAV: Application-Aware Content and Network Optimization of Edge-Assisted UAV Systems

Characterization of the Global Bias Problem in Aerial Federated Learning

FedBA: Non-IID Federated Learning Framework in UAV Networks

Communication-Enabled Deep Reinforcement Learning to Optimise Energy-Efficiency in UAV-Assisted Networks