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Unmanned aerial vehicles (UAVs) have the potential for time-sensitive applications. Due to wireless channel variation, received data may have an expiration time, particularly in critical situations such as rescue operations, natural…

系统与控制 · 电气工程与系统科学 2024-11-20 Shima Salar Hosseini , Paeiz Azmi , Ali Nazari

In recent years, unmanned aerial vehicles (UAVs) have been considered for telecommunications purposes as relays, caches, or IoT data collectors. In addition to being easy to deploy, their maneuverability allows them to adjust their location…

信号处理 · 电气工程与系统科学 2019-07-16 Enes Krijestorac , Samer Hanna , Danijela Cabric

Hybrid Unmanned Aerial Underwater Vehicles (HUAUVs) have emerged as platforms capable of operating in both aerial and underwater environments, enabling applications such as inspection, mapping, search, and rescue in challenging scenarios.…

Age-of-information (AoI) and transmission power are crucial performance metrics in low energy wireless networks, where information freshness is of paramount importance. This study examines a power-limited internet of things (IoT) network…

Unmanned aerial vehicle (UAV)-based networks and Internet of Things (IoT) are being considered as integral components of current and next-generation wireless networks. In particular, UAVs can provide IoT devices with seamless connectivity…

系统与控制 · 电气工程与系统科学 2023-12-12 Xueyuan Wang , M. Cenk Gursoy

Internet of Things (IoT) involves sensors for monitoring and wireless networks for efficient communication. However, resource-constrained IoT devices and limitations in existing wireless technologies hinder its full potential. Integrating…

网络与互联网体系结构 · 计算机科学 2023-11-10 Poorvi Joshi , Alakesh Kalita , Mohan Gurusamy

With the advancement in drone technology, in just a few years, drones will be assisting humans in every domain. But there are many challenges to be tackled, communication being the chief one. This paper aims at providing insights into the…

Unmanned aerial vehicles (UAVs) are now beginning to be deployed for enhancing the network performance and coverage in wireless communication. However, due to the limitation of their on-board power and flight time, it is challenging to…

信号处理 · 电气工程与系统科学 2021-06-08 Khoi Khac Nguyen , Trung Q. Duong , Tan Do-Duy , Holger Claussen , and Lajos Hanzo

Increased utilization of unmanned aerial vehicles (UAVs) in critical operations necessitates secure and reliable communication with Ground Control Stations (GCS). This paper introduces Aero-LLM, a framework integrating multiple Large…

密码学与安全 · 计算机科学 2025-02-11 Balakrishnan Dharmalingam , Rajdeep Mukherjee , Brett Piggott , Guohuan Feng , Anyi Liu

This letter proposes a novel UAV-enabled mobile jamming scheme to improve the secrecy rate of ground wiretap channel. Specifically, a UAV is employed to transmit jamming signals to combat against eavesdropping. Such a mobile jamming scheme…

信息论 · 计算机科学 2018-10-16 An Li , Qingqing Wu , Rui Zhang

This paper investigates a multi-Unmanned Aerial Vehicle (UAV) joint base station-assisted Internet of Vehicles (IoV) task offloading system in dense urban environments. To minimize system delay and energy consumption under strict coupling…

网络与互联网体系结构 · 计算机科学 2026-05-07 Maoxin Ji , Qiong Wu , Pingyi Fan , Cui Zhang , Nan Cheng , Wen Chen , Khaled B. Letaief

Unmanned aerial vehicles (UAVs) are envisioned to complement the 5G communication infrastructure in future smart cities. Hot spots easily appear in road intersections, where effective communication among vehicles is challenging. UAVs may…

机器学习 · 计算机科学 2023-02-22 Ming Zhu , Xiao-Yang Liu , Anwar Walid

With the increasing prevalence of drones in various industries, the navigation and tracking of unmanned aerial vehicles (UAVs) in challenging environments, particularly GNSS-denied areas, have become crucial concerns. To address this need,…

机器人学 · 计算机科学 2023-10-16 Iacopo Catalano , Xianjia Yu , Jorge Pena Queralta

Deep Reinforcement Learning is quickly becoming a popular method for training autonomous Unmanned Aerial Vehicles (UAVs). Our work analyzes the effects of measurement uncertainty on the performance of Deep Reinforcement Learning (DRL) based…

机器人学 · 计算机科学 2023-03-14 Bhaskar Joshi , Dhruv Kapur , Harikumar Kandath

In this paper, we propose reconfigurable intelligent surface (RIS)-assisted unmanned aerial vehicles (UAVs) networks that can utilise both advantages of UAV's agility and RIS's reflection for enhancing the network's performance. To aim at…

信号处理 · 电气工程与系统科学 2021-08-09 Khoi Khac Nguyen , Saeed Khosravirad , Daniel Benevides da Costa , Long D. Nguyen , Trung Q. Duong

Recently, Unmanned Aerial Vehicles (UAVs) are increasingly being investigated to collect sensory data in post-disaster monitoring scenarios, such as tsunamis, where early actions are critical to limit coastal damage. A major challenge is to…

The use of unmanned aerial vehicles (UAVs) for different applications has increased many folds in recent years. The UAVs are expected to change the future air operations. However, there are instances where the UAVs can be used for malicious…

信号处理 · 电气工程与系统科学 2022-11-21 Wahab Khawaja , Martins Ezuma , Vasilii Semkin , Fatih Erden , Ozgur Ozdemir , Ismail Guvenc

With the continual adoption of Uncrewed Aerial Vehicles (UAVs) across a wide-variety of application spaces, robust aerial manipulation remains a key research challenge. Aerial manipulation tasks require interacting with objects in the…

机器人学 · 计算机科学 2024-07-02 Cora A. Dimmig , Marin Kobilarov

Unmanned Aerial Systems (UAS) are being increasingly deployed for commercial, civilian, and military applications. The current UAS state-of-the-art still depends on a remote human controller with robust wireless links to perform several of…

机器学习 · 计算机科学 2020-09-10 Jithin Jagannath , Anu Jagannath , Sean Furman , Tyler Gwin

Unmanned aerial vehicles (UAVs) have the potential to greatly aid Internet of Things (IoT) networks in mission-critical data collection, thanks to their flexibility and cost-effectiveness. However, challenges arise due to the UAV's limited…

信息论 · 计算机科学 2023-11-14 Mengjie Yi , Xijun Wang , Juan Liu , Yan Zhang , Ronghui Hou