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Effective solutions for intelligent data collection in terrestrial cellular networks are crucial, especially in the context of Internet of Things applications. The limited spectrum and coverage area of terrestrial base stations pose…

Systems and Control · Electrical Eng. & Systems 2024-06-04 Abhishek Mondal , Deepak Mishra , Ganesh Prasad , George C. Alexandropoulos , Azzam Alnahari , Riku Jantti

Unmanned aerial vehicles (UAVs) can be powerful Internet-of-Things components to execute sensing tasks over the next-generation cellular networks, which are generally referred to as the cellular Internet of UAVs. However, due to the high…

Signal Processing · Electrical Eng. & Systems 2019-11-21 Jingzhi Hu , Hongliang Zhang , Lingyang Song , Zhu Han , H. Vincent Poor

With the assistance of device-to-device (D2D) communications, unmanned aerial vehicle (UAV) networks are anticipated to support widespread applications in the fifth generation (5G) and beyond wireless systems, by providing seamless…

Networking and Internet Architecture · Computer Science 2022-01-11 B. Yang , T. Taleb , Z. Wu , L. Ma

This paper addresses the joint optimization of trajectories and bandwidth allocation for multiple Unmanned Aerial Vehicles (UAVs) to enhance energy efficiency in the cooperative data collection problem. We focus on an important yet…

Multiagent Systems · Computer Science 2026-01-19 Cuong Le , Symeon Chatzinotas , Thang X. Vu

In this paper, we propose a distributed solution to the navigation of a population of unmanned aerial vehicles (UAVs) to best localize a static source. The network is considered heterogeneous with UAVs equipped with received signal strength…

Signal Processing · Electrical Eng. & Systems 2020-07-23 Anna Guerra , Davide Dardari , Petar M. Djuric

In intelligent low-altitude networks, integrating monitoring tasks into communication unmanned aerial vehicles (UAVs) can consume resources and increase handoff latency for communication links. To address this challenge, we propose a…

Signal Processing · Electrical Eng. & Systems 2025-12-17 Jiahui Liang , Wenlihan Lu , Tianyi Liu , Kang Kang , Guixin Pan , Liuqing Yang , Xinhu Zheng , Shijian Gao

Decentralized learning empowers wireless network devices to collaboratively train a machine learning (ML) model relying solely on device-to-device (D2D) communication. It is known that the convergence speed of decentralized optimization…

Information Theory · Computer Science 2022-06-01 Matteo Zecchin , David Gesbert , Marios Kountouris

The usage of unmanned aerial vehicles (UAVs) in civil and military applications continues to increase due to the numerous advantages that they provide over conventional approaches. Despite the abundance of such advantages, it is imperative…

Machine Learning · Computer Science 2021-08-25 Ilyes Mrad , Lutfi Samara , Alaa Awad Abdellatif , Abubakr Al-Abbasi , Ridha Hamila , Aiman Erbad

The rapid development of Unmanned aerial vehicles (UAVs) technology has spawned a wide variety of applications, such as emergency communications, regional surveillance, and disaster relief. Due to their limited battery capacity and…

Machine Learning · Computer Science 2025-01-22 Yubo Yang , Tao Yang , Xiaofeng Wu , Bo Hu

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…

Machine Learning · Computer Science 2023-02-22 Ming Zhu , Xiao-Yang Liu , Anwar Walid

Unmanned aerial vehicles (UAVs) are capable of serving as aerial base stations (BSs) for providing both cost-effective and on-demand wireless communications. This article investigates dynamic resource allocation of multiple UAVs enabled…

Signal Processing · Electrical Eng. & Systems 2018-10-25 Jingjing Cui , Yuanwei Liu , Arumugam Nallanathan

Non terrestrial networks are critical for achieving global 6G coverage, yet efficient resource management in aerial and space environments remains challenging due to limited onboard power and dynamic operational conditions. Network slicing…

Networking and Internet Architecture · Computer Science 2025-12-10 Thanh-Dao Nguyen , Ngoc-Tan Nguyen , Thai-Duong Nguyen , Nguyen Van Huynh , Dinh-Hieu Tran , Symeon Chatzinotas

Unmanned aerial vehicles (UAVs) have gained a lot of popularity in diverse wireless communication fields. They can act as high-altitude flying relays to support communications between ground nodes due to their ability to provide…

Signal Processing · Electrical Eng. & Systems 2018-08-01 Hakim Ghazzai , Mahdi Ben Ghorbel , Andreas Kassler , Md. Jahangir Hossain

This paper addresses the problem of target detection and localisation in a limited area using multiple coordinated agents. The swarm of Unmanned Aerial Vehicles (UAVs) determines the position of the dispersion of stack effluents to a gas…

Robotics · Computer Science 2019-07-18 Daniele Facinelli , Matteo Larcher , Davide Brunelli , Daniele Fontanelli

UAV swarms are widely used in emergency communications, area monitoring, and disaster relief. Coordinated by control centers, they are ideal for federated learning (FL) frameworks. However, current UAV-assisted FL methods primarily focus on…

Machine Learning · Computer Science 2025-03-13 Yubo Yang , Tao Yang , Xiaofeng Wu , Ziyu Guo , Bo Hu

In this paper, a novel communication framework that uses an unmanned aerial vehicle (UAV)-carried intelligent reflector (IR) is proposed to enhance multi-user downlink transmissions over millimeter wave (mmWave) frequencies. In order to…

Information Theory · Computer Science 2020-11-04 Qianqian Zhang , Walid Saad , Mehdi Bennis

Due to the advantages of flexible deployment and extensive coverage, unmanned aerial vehicles (UAVs) have great potential for sensing applications in the next generation of cellular networks, which will give rise to a cellular Internet of…

Signal Processing · Electrical Eng. & Systems 2020-07-29 Jingzhi Hu , Hongliang Zhang , Lingyang Song , Robert Schober , H. Vincent Poor

Unmanned aerial vehicle (UAV) swarms are considered as a promising technique for next-generation communication networks due to their flexibility, mobility, low cost, and the ability to collaboratively and autonomously provide services.…

Machine Learning · Computer Science 2023-01-04 Yahao Ding , Zhaohui Yang , Quoc-Viet Pham , Zhaoyang Zhang , Mohammad Shikh-Bahaei

As the number of devices getting connected to the vehicular network grows exponentially, addressing the numerous challenges of effectively allocating spectrum in dynamic vehicular environment becomes increasingly difficult. Traditional…

Signal Processing · Electrical Eng. & Systems 2024-10-17 Riya Dinesh Deshpande , Faheem A. Khan , Qasim Zeeshan Ahmed

Unmanned Aerial Vehicles (UAVs) have attracted great interest in the last few years owing to their ability to cover large areas and access difficult and hazardous target zones, which is not the case of traditional systems relying on direct…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-05-25 Mohammed Jouhari , Abdulla Al-Ali , Emna Baccour , Amr Mohamed , Aiman Erbad , Mohsen Guizani , Mounir Hamdi