Showing 1-25 of 1,680 resultsfor "Index Terms":Unmanned Aerial Vehicles Deployment
"Index Terms":Unmanned Aerial Vehicles Deployment
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UAV Comprehensive Coverage to Users in Urban Environment
2018 IEEE 9th International Conference on Software Engineering and Service Science (ICSESS)
Year: 2018 | Conference Paper |
Cited by: Papers (6)
Unmanned aerial vehicles (UAVs)are widely used to provide network coverage in emergency situations due to their high flexibility and air-ground channel link. In urban scenarios, building blockage can severely weaken the link signal between UAV and users. Hence, how to deploy UAVs avoiding link blockage as far as possible is meaningful for improving UAV - user communication quality. To deal with th...Show More
Unmanned aerial vehicle (UAV) has been widely used in many fields and is arousing global attention. As the resolution of the equipped sensors in the UAV becomes higher and the tasks become more complicated, much higher data rate and longer communication range are required in the foreseeable future. As the millimeter-wave (mmWave) band can provide more abundant frequency resources than the microwav...Show More
NOMA-based UAV-aided networks for emergency communications
Wanmei Feng;Jie Tang;Nan Zhao;Yuli Fu;Xiuyin Zhang;Kanapathippillai Cumanan;Kai-Kit Wong
High spectrum efficiency (SE) requirement and massive connections are the main challenges for the fifth generation (5G) and beyond 5G (B5G) wireless networks, especially for the case when Internet of Things (IoT) devices are located in a disaster area. Non-orthogonal multiple access (NOMA)-based unmanned aerial vehicle (UAV)-aided network is emerging as a promising technique to overcome the above ...Show More
Tractable Modelling and Performance Analysis of UAV Networks With 3D Blockage Effects
Unmanned aerial vehicle (UAV) networks hold tremendous potential to provide on-demand wireless services for hotspots in city scenario. However, densely located buildings will cause the spatial constraints for UAV distribution and affect the network connectivity. This letter proposes a tractable model of UAV networks with 3D blockage effects and analyzes system coverage probability via stochastic g...Show More
A Distributed UAV Management System Inspired by Packet-Switched Networks
Takahiko Haraguchi;Hiroshi Katada;Taku Yamazaki;Takumi Miyoshi;Ryo Yamamoto;Kiyoshi Ueda
Unmanned aerial vehicles (UAVs) are expected to be used in various applications such as delivery services and sensing from airspaces in smart cities. In the future, UAV control systems must address a densely mixed environment comprising various services and users regardless of individuals or businesses. However, users cannot flexibly join or leave the system because of their centralized design. Th...Show More
Average System Cost Minimization-Based Joint UAV Deployment and Resource Allocation
2024 IEEE 29th Asia Pacific Conference on Communications (APCC)
Year: 2024 | Conference Paper |
Unmanned aerial vehicles (UAVs) are expected to act as aerial relays which forwards data packets for ground users (GUs) leveraging their advantages of low cost, high flexibility and maneuverability. One challenging problem in UAV-assisted cellular systems is how to design the efficient UAV deployment, GU association and resource allocation strategy which achieves system performance optimization. I...Show More
3D Deployment of Multiple UAVs for Emergent On-Demand Offloading
Allafi Omran;Lokman Sboui;Michel Kadoch;Zhengwei Chang;Jizhao Lu;Rongke Liu
2020 International Wireless Communications and Mobile Computing (IWCMC)
Year: 2020 | Conference Paper |
Cited by: Papers (14)
In this paper, we address the problem of placing the unmanned aerial vehicles (UAVs) in an area covered by a congested or damaged base station (BS). We aim to cover the affected users while maximizing the operator's profit. We proposed to adopt the k-means method associated with the pattern search technique to find the optimal UAVs 3D locations. We show in the simulations, that our approach achiev...Show More
3D UAV Deployment in Multi-UAV Networks With Statistical User Position Information
IEEE Communications Letters
Cited by: Papers (27)
Unmanned aerial vehicle (UAV) carried base stations can provide on-demand deployment for ground users. Given a target area to be serviced, this letter proposes a three-dimensional (3D) deployment method for multiple UAVs based on the knowledge of statistical user position information to maximize the total network throughput. The 3D deployment problem is divided into horizontal deployment problem a...Show More
DRL-Based Multi-Dimensional Resource Scheduling for Intelligent Connected Vehicles in UAV-Assisted VEC Systems
IEEE Sensors Journal
Year: 2025 | Early Access Article |
Unmanned Aerial Vehicle (UAV)-assisted Vehicular Edge Computing (VEC) has emerged as a novel paradigm for compute-intensive and latency-sensitive tasks for Intelligent Connected Vehicles (ICVs) by introducing UAVs to the vehicular network. However, in the temporary hotspot scenario with traffic congestion, due to the high-speed mobility of vehicles, effective solutions that support vehicles’ highe...Show More
Joint UAV Deployment and Resource Allocation: A Personalized Federated Deep Reinforcement Learning Approach
Unmanned aerial vehicles (UAVs) are capable of serving as aerial base stations (BSs) for providing dynamic coverage and connectivity extension for the sixth-generation (6G) wireless networks. While flexibility is provided, the deployment of the UAV swarms and the associated resource allocation become rather challenging due to the dynamic nature of UAVs and difficulty in obtaining global user infor...Show More
Efficient Multiple UAV Deployment for Maximal Communication Connectivity over Wide Areas
2023 28th Asia Pacific Conference on Communications (APCC)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
This paper proposes an efficient 3D deployment approach for multiple UAV base stations, to maximize the probability of connections for users spread over a wide area. We consider covering a circular region, such as might apply in a disaster scenario affecting a city centre where terrestrial base stations have become inoperable. We compare two approaches to deploying UAVs. One is a regular triangula...Show More
This work investigates the deployment of unmanned aerial vehicles (UAVs) as access points to provide wireless services to users in a green field. Three fundamental deployment designs are studied under practical air-to-ground (ATG) channel models, namely the minimum number of UAVs, their optimal deployment locations and the optimal transmit power allocation. Since these three design goals are coupl...Show More
Unmanned aerial vehicles (UAVs) can be used as low-altitude flight base stations to satisfy the coverage requirements of wireless users in various scenarios. In practical applications, since the transmitted power and energy resources of the UAVs are limited and the propagation environments are complicated and time-variant, it is challenging to control a group of UAVs to ensure coverage performance...Show More
BS-on-air: Optimum UAV localization for resilient ultra dense networks
IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Year: 2018 | Conference Paper |
Cited by: Papers (5)
The deployment of multiple small cells with low-power and low-cost Base Stations (BSs) offers new opportunities for increased traffic demands in Ultra Dense Networks (UDN). However, an instant increase in traffic flows, and subsequent problems with communications caused by the huge demand of users, cannot be met by the existing infrastructure since the users consume all of the network resources in...Show More
Performance Analysis of Perimeter Surveillance Unmanned Aerial Vehicles
2019 7th International Electrical Engineering Congress (iEECON)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
UAV deployment algorithm for manned and unmanned cooperative airborne network
2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT)
Year: 2022 | Conference Paper |
The flexible and easy-to-deploy Unmanned Aerial Vehicle(UAV) is used to control the manned-aircraft formations with highly dynamic topology changes, forming a manned and unmanned cooperative airborne network, which can effectively reduce network deployment costs while ensuring network connectivity. Aiming at the problem of UAV deployment, in order to optimize network reliability and deployment cos...Show More
Toward Optimal Deployment of UAV Relays in UAV-Assisted Internet of Vehicles
The past decade has witnessed an explosive growth of unmanned aerial vehicles (UAVs), which have attracted great attention in assisting Internet of Vehicles (IoV) communication systems thanks to the advantages of cost-effectiveness, high maneuverability, and flexible deployment. Yet several issues, such as UAVs' transmit power and energy resources as well as the high-speed mobility of IoV user equ...Show More
In this paper, a high-precision ultra-wideband (UWB) based unmanned aerial vehicle (UAV) localisation approach is proposed for applications in extremely confined environments. It is motivated by the emerging demand on autonomous inspection in such environments that are hard or impossible for humans to access. Instead of the traditional localisation techniques such as global positioning system (GPS...Show More
Sum-Rate Optimization for Visible-Light-Band UAV Networks Based on Particle Swarm Optimization
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)
Year: 2022 | Conference Paper |
Cited by: Papers (8)
The mobility nature of unmanned aerial vehicles (UAVs) takes them into high consideration in military, public, and civilian applications in recent years. However, scaling out millions of UAVs in the air will inevitably lead to a more crowded radio frequency (RF) spectrum. Therefore, researchers have been focused on new technologies such as millimeter-wave, Terahertz, and visible light communicatio...Show More
Sensing Assisted Full-Duplex Unmanned Aerial Vehicle for Maximum Coverage of Users
Zhifang Xing;Zizheng Zhao;Changhao Du;Minghui Sha;Shengwen Zhou
2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP)
Year: 2024 | Conference Paper |
Unmanned aerial vehicle mounted base stations (UAV-BSs) combine mobility and deployability, providing reliable communication coverage for users. This paper investigates a sensing assisted UAV equipped with full-duplex hardware platforms. We study layout optimization algorithms for UAV base stations in integrated sensing and communication (ISAC) scenarios. Our algorithm maximizes the number of user...Show More
Efficient Multiple UAV Positioning and Resource Allocation in Intelligent Wireless Network
Sonia Jenifer Rayen;J. Harirajkumar;Sreeja Vijay;S. Vijayalakshmi;M. Benisha
2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
Year: 2023 | Conference Paper |
Intelligent Wireless Network (IWN) is a trending technology and it is used in maximum of intelligent communication in order to improve its performance Unmanned Aerial Vehicles (UAVs) is incorporated with the IWS network. In recent times UAVs handles certain drawbacks like and predictable mobility in the random topology. In order to overcome this drawback’s in this article Efficient Multiple UAV Po...Show More
Multi-UAV Deployment for MEC Enhanced IoT Networks
2020 IEEE/CIC International Conference on Communications in China (ICCC)
Year: 2020 | Conference Paper |
Cited by: Papers (12)
Unmanned aerial vehicles (UAVs) are already widely used to provide both relay services and enhanced information coverage to the terrestrial Internet of Things (IoT) networks. IoT devices may not be able to handle heavy computing tasks due to their severely limited processing capability. In this paper, a multi-UAV deployment for mobile edge computing (MEC) enhanced IoT architecture is designed, whe...Show More
Unmanned aerial vehicles (UAVs) with multiple antennas have the potential to significantly enhance content delivery performance of cache-enabled UAV networks. In this work, we jointly investigate user grouping, UAV deployment and multicast precoder optimization problem in multi-UAV-enabled networks, where UAVs are allowed to store user-requested contents. We formulate the joint optimization proble...Show More
Deployment algorithm for minimum unmanned aerial vehicles towards optimal coverage and interconnections
2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
Unmanned aerial vehicles (UAVs) are playing an important role in serving ground users as base stations (BSs) during temporary events, or after terrestrial BSs fail. UAV deployment is a fundamental and vital problem which directly affects the coverage capacity and user experience. Especially, while deploying a UAV backbone network, the cost and the quality of service (QoS) of the ground users as we...Show More
Deployment Algorithms for UAV Airborne Networks Toward On-Demand Coverage
Due to the flying nature of unmanned aerial vehicles (UAVs), it is very attractive to deploy UAVs as aerial base stations and construct airborne networks to provide service for on-ground users at temporary events (such as disaster relief, military operation, and so on). In the constructing of UAV airborne networks, a challenging problem is how to deploy multiple UAVs for on-demand coverage while a...Show More
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