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Journal articles on the topic 'The UAV placement problem'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Sobouti, Mohammad Javad, Amirhossein Mohajerzadeh, Haitham Y. Adarbah, Zahra Rahimi, and Hamed Ahmadi. "Utilizing UAVs in Wireless Networks: Advantages, Challenges, Objectives, and Solution Methods." Vehicles 6, no. 4 (2024): 1769–800. http://dx.doi.org/10.3390/vehicles6040086.

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Unmanned aerial vehicles (UAVs) have emerged as a promising technology to enhance the performance and functionality of mobile networks. UAVs can act as flying base stations, relays, or users to provide wireless services to ground users or devices. However, the optimal placement and trajectory design of UAVs in mobile networks is a challenging problem, as it involves multiple objectives, constraints, and uncertainties. In this paper, we provide a comprehensive survey of the state-of-the-art research on UAV placement and trajectory optimization in cellular networks. We first introduce the main o

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Diallo, Elhadj Moustapha, Rong Chai, Abuzar B. M. Adam, Gezahegn Abdissa Bayessa, Chengchao Liang, and Qianbin Chen. "Long-Term Energy Consumption Minimization Based on UAV Joint Content Fetching and Trajectory Design." Sensors 25, no. 3 (2025): 898. https://doi.org/10.3390/s25030898.

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Caching the contents of unmanned aerial vehicles (UAVs) could significantly improve the content fetching performance of request users (RUs). In this paper, we study UAV trajectory design, content fetching, power allocation, and content placement problems in multi-UAV-aided networks, where multiple UAVs can transmit contents to the assigned RUs. To minimize the energy consumption of the system, we develop a constrained optimization problem that simultaneously designs UAV trajectory, power allocation, content fetching, and content placement. Since the original minimization problem is a mixed-int

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Goehar, Huda, Ahmed S. Khwaja, Ali A. Alnoman, Alagan Anpalagan, and Muhammad Jaseemuddin. "Investigation of a HAP-UAV Collaboration Scheme for Throughput Maximization via Joint User Association and 3D UAV Placement." Sensors 23, no. 13 (2023): 6095. http://dx.doi.org/10.3390/s23136095.

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In this paper, a collaboration scheme between a high-altitude platform (HAP) and several unmanned aerial vehicles (UAVs) for wireless communication networks is investigated. The main objective of this study is to maximize the total downlink throughput of the ground users by optimizing the UAVs’ three-dimensional (3D) placements and user associations. An optimization problem is formulated and a separate genetic-algorithm-based approach is proposed to solve the problem. The K-means algorithm is also utilized to find the initial UAV placement to reduce the convergence time of the proposed genetic

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Lee, Chunghyun, Gunhee Jang, Nhu-Ngoc Dao, Demeke Shumeye Lakew, Cheol Lee, and Sungrae Cho. "Competitive Game Theoretic Clustering-Based Multiple UAV-Assisted NB-IoT Systems." Electronics 10, no. 3 (2021): 356. http://dx.doi.org/10.3390/electronics10030356.

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Unmanned aerial vehicle (UAV) communication is regarded as a promising technology for lightweight Internet of Things (IoT) communications in narrowband-IoT (NB-IoT) systems deployed in rugged terrain. In such UAV-assisted NB-IoT systems, the optimal UAV placement and resource allocation play a critical role. Consequently, the joint optimization of the UAV placement and resource allocation is considered in this study to improve the system capacity. Because the considered optimization problem is an NP-hard problem and owing to its non-convex property, it is difficult to optimize both the UAV pla

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Xue, Yishi, Bo Xu, Wenchao Xia, Jun Zhang, and Hongbo Zhu. "Backhaul-Aware Resource Allocation and Optimum Placement for UAV-Assisted Wireless Communication Network." Electronics 9, no. 9 (2020): 1397. http://dx.doi.org/10.3390/electronics9091397.

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Driven by its agile maneuverability and deployment, the unmanned aerial vehicle (UAV) becomes a potential enabler of the terrestrial networks. In this paper, we consider downlink communications in a UAV-assisted wireless communication network, where a multi-antenna UAV assists the ground base station (GBS) to forward signals to multiple user equipments (UEs). The UAV is associated with the GBS through in-band wireless backhaul, which shares the spectrum resource with the access links between UEs and the UAV. The optimization problem is formulated to maximize the downlink ergodic sum-rate by jo

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Safwat, Nour El-Din, Ismail Mohammed Hafez, and Fatma Newagy. "3D Placement of a New Tethered UAV to UAV Relay System for Coverage Maximization." Electronics 11, no. 3 (2022): 385. http://dx.doi.org/10.3390/electronics11030385.

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In this paper, a new relay system that uses the UAV as a relay station between the tethered UAV and ground user (TU2U2G) is proposed. The TU2U2G system uses a TUAV as a viable alternative to replace BS and provide seamless service over a cable that simultaneously supplies stable power and a reliable wired data-link connection from a ground control station. Compared to the BS, TUAV improves system coverage due to its high altitude. Also, it overcomes the antenna down-tilting, which increases the path loss between BS and UAV in the cellular system. In addition, it overcomes the UAV drawback of t

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Tran, Thi-Thuy-Minh, Binh-Minh Vu, and Oh-Soon Shin. "Optimization of Bandwidth Allocation and UAV Placement in Active RIS-Assisted UAV Communication Networks with Wireless Backhaul." Drones 9, no. 2 (2025): 111. https://doi.org/10.3390/drones9020111.

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In this paper, we present a novel design for unmanned aerial vehicle (UAV) communication networks with wireless backhaul, where an active reconfigurable intelligent surface (ARIS) is deployed to improve connections between a UAV and multiple users, while mitigating channel impairments in complex environments. The proposed design aims to maximize the achievable sum rate of all networks by jointly optimizing UAV placement; resource management strategies; transmit power allocation; and ARIS reflection coefficients, subject to backhaul constraints and power budget limitations in the ARIS system. T

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Liu, Chaoyi, and Qi Zhu. "Joint Resource Allocation and Learning Optimization for UAV-Assisted Federated Learning." Applied Sciences 13, no. 6 (2023): 3771. http://dx.doi.org/10.3390/app13063771.

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Aiming at the unmanned aerial vehicle (UAV)-assisted federated learning wireless-network scenario, and considering the influence of the UAV altitude on the coverage area, we propose a joint optimization algorithm of UAV placement, computation and communication resources. Considering the energy efficiency and federated learning performance, we defined the cost function of the system. Under the constraint of the total delay of federated learning completion, we formulated an optimization problem of minimizing the cost function to achieve the balance between the total energy consumption of users a

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Lan, Tingting, Danyang Qin, and Guanyu Sun. "Joint Optimization on Trajectory, Cache Placement, and Transmission Power for Minimum Mission Time in UAV-Aided Wireless Networks." ISPRS International Journal of Geo-Information 10, no. 7 (2021): 426. http://dx.doi.org/10.3390/ijgi10070426.

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In recent years, due to the strong mobility, easy deployment, and low cost of unmanned aerial vehicles (UAV), great interest has arisen in utilizing UAVs to assist in wireless communication, especially for on-demand deployment in emergency situations and temporary events. However, UAVs can only provide users with data transmission services through wireless backhaul links established with a ground base station, and the limited capacity of the wireless backhaul link would limit the transmission speed of UAVs. Therefore, this paper designed a UAV-assisted wireless communication system that used c

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Zhang, Ziyong, Xiaoling Xu, Jinqiang Cui, and Wei Meng. "Multi-UAV Area Coverage Based on Relative Localization: Algorithms and Optimal UAV Placement." Sensors 21, no. 7 (2021): 2400. http://dx.doi.org/10.3390/s21072400.

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This paper is concerned with relative localization-based optimal area coverage placement using multiple unmanned aerial vehicles (UAVs). It is assumed that only one of the UAVs has its global position information before performing the area coverage task and that ranging measurements can be obtained among the UAVs by using ultra-wide band (UWB) sensors. In this case, multi-UAV relative localization and cooperative coverage control have to be run simultaneously, which is a quite challenging task. In this paper, we propose a single-landmark-based relative localization algorithm, combined with a d

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Zhong, Tianyao, Ducheng Wu, Guoxin Li, Haichao Wang, Runfeng Chen, and Jihao Cai. "Joint Optimization of Spectrum Resource Management and Position Placement for UAV Base Station Networks." Wireless Communications and Mobile Computing 2023 (April 27, 2023): 1–14. http://dx.doi.org/10.1155/2023/2328249.

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The unmanned aerial vehicle (UAV) base station plays a significant role in enhancing the terrestrial network, when the ground base station (GBS) is destroyed in emergent cases or its load exceeds the capacity of the terrestrial network. Presently, many papers focus on optimizing the UAV position deployment and user access, while ignoring the optimization about the spectrum resource management. To solve this problem, we formulate a joint optimization problem of the spectrum resource management and the position placement for UAVs with the constraint of the limited backhaul capacity. Later, the j

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Waheed, Maham, Rizwan Ahmad, Waqas Ahmed, Muhammad Mahtab Alam, and Maurizio Magarini. "On Coverage of Critical Nodes in UAV-Assisted Emergency Networks." Sensors 23, no. 3 (2023): 1586. http://dx.doi.org/10.3390/s23031586.

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Unmanned aerial vehicle (UAV)-assisted networks ensure agile and flexible solutions based on the inherent attributes of mobility and altitude adaptation. These features render them suitable for emergency search and rescue operations. Emergency networks (ENs) differ from conventional networks. They often encounter nodes with vital information, i.e., critical nodes (CNs). The efficacy of search and rescue operations highly depends on the eminent coverage of critical nodes to retrieve crucial data. In a UAV-assisted EN, the information delivery from these critical nodes can be ensured through qua

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Shalaby, Abdulrahman M., and Noor Shamsiah Othman. "The Effect of Rainfall on the UAV Placement for 5G Spectrum in Malaysia." Electronics 11, no. 5 (2022): 681. http://dx.doi.org/10.3390/electronics11050681.

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In this paper, the influence of rainfall on the deployment of UAV as an aerial base station in the Malaysia 5G network is studied. The outdoor-to-outdoor and outdoor-to-indoor path loss models are derived by considering the user’s antenna height, rain attenuation, and the wall penetration loss at high frequencies. The problem of finding the UAV 3D placement is formulated with the objective to minimize the total path loss between the UAV and all users. The problem is solved by invoking two algorithms, namely Particle Swarm Optimization (PSO) and Gradient Descent (GD) algorithms. The performance

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Moon, Inseok, Le The Dung, and Taejoon Kim. "Optimal 3D Placement of UAV-BS for Maximum Coverage Subject to User Priorities and Distributions." Electronics 11, no. 7 (2022): 1036. http://dx.doi.org/10.3390/electronics11071036.

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The usage of unmanned aerial vehicle (UAV) as a base station is in the spotlight to overcome the severe attenuation characteristics of short-wavelength radio in high-speed wireless networks. In this paper, we propose an optimal UAV deployment algorithm, considering the priority of ground nodes (GNs) in different wireless communication environments. Specifically, the optimal position of a UAV is determined so that as many high-priority GNs can be served rather than covering as many GNs as possible. The proposed optimization problem deals with two groups of GNs with different priorities and find

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Hulianytskyi, Leonid, and Oleg Rybalchenko. "Formalization of the Problem of Optimization of Base Places and Routes of the UAV Group." Cybernetics and Computer Technologies, no. 4 (December 30, 2021): 12–26. http://dx.doi.org/10.34229/2707-451x.21.4.2.

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Introduction. The problem of planning the mission of a set of heterogeneous unmanned aerial vehicles (UAVs)is considered, which is to survey and/or service a given set of targets in the field. A mathematical model of the problem and algorithms for its solving that is based on deterministic local search, as well as optimization by ant colonies are proposed. The efficiency of algorithms is investigated based on the results of solving problems with real objects in the field. The relative error of the results of each algorithm was obtained, which allowed to compare their efficiency. The purpose of

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Fernandez, Stephanie Alvarez, Marcelo M. Carvalho, and Daniel G. Silva. "A Hybrid Metaheuristic Algorithm for the Efficient Placement of UAVs." Algorithms 13, no. 12 (2020): 323. http://dx.doi.org/10.3390/a13120323.

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This work addresses the problem of using Unmanned Aerial Vehicles (UAV) to deploy a wireless aerial relay communications infrastructure for stations scattered on the ground. In our problem, every station in the network must be assigned to a single UAV, which is responsible for handling all data transfer on behalf of the stations that are assigned to it. Consequently, the placement of UAVs is key to achieving both network coverage and the maximization of the aggregate link capacities between UAVs and stations, and among the UAVs themselves. Because the complexity of this problem increases signi

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Abu-Baker, Amjad, Hazim Shakhatreh, Ahmad Sawalmeh, and Ali H. Alenezi. "Efficient Data Collection in UAV-Assisted Cluster-Based Wireless Sensor Networks for 3D Environment: Optimization Study." Journal of Sensors 2023 (April 12, 2023): 1–21. http://dx.doi.org/10.1155/2023/9513868.

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Unmanned aerial vehicles (UAVs) have been recently employed in combination with wireless sensor networks (WSNs) to collect data efficiently and improve surveillance effectiveness. This integration enhances the WSN infrastructure where UAVs are used as aerial base stations from which to access wireless sensors in hard-to-reach places within surveillance area. Consequently, the UAVs have become a promising solution to maintain reliability for the communication between wireless sensors and base station particularly in cases where infrastructure becomes unavailable such as hilly terrains and emerg

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Leichenko, Kyrylo, Herman Fesenko, Vyacheslav Kharchenko, and Oleg Illiashenko. "Deployment of a UAV swarm-based LiFi network in the obstacle-ridden environment: algorithms of finding the path for UAV placement." Radioelectronic and Computer Systems 2024, no. 1 (2024): 176–95. http://dx.doi.org/10.32620/reks.2024.1.14.

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The subject of this study is unmanned aerial vehicle (UAV)-based wireless networks in an obstacle-ridden environment. The aim of this study is to develop methods and software to ensure reliable LiFi communication using swarm UAVs in an obstacle-ridden environment. The objectives are as follows: 1) to describe the problem of providing a reliable UAV swarm-based LiFi network, requirements for the composition and use of UAVs, and assumptions; 2) to develop the methodology for solving research tasks; 3) to develop the method and algorithms for solving the problem, considering the requirements, ass

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Shakhatreh, Hazim, Khaled Hayajneh, Khaled Bani-Hani, Ahmad Sawalmeh, and Muhammad Anan. "Cell on Wheels-Unmanned Aerial Vehicle System for Providing Wireless Coverage in Emergency Situations." Complexity 2021 (November 22, 2021): 1–9. http://dx.doi.org/10.1155/2021/8669824.

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Due to natural disasters, unmanned aerial vehicles (UAVs) can be deployed as aerial wireless base stations when conventional cellular networks are out of service. They can also supplement the mobile ground station to provide wireless devices with improved coverage and faster data rates. Cells on wheels (CoWs) can also be utilized to provide enhanced wireless coverage for short-term demands. In this paper, a single CoW cooperates with a single UAV in order to provide maximum wireless coverage to ground users. The optimization problem is formulated to find the following: (1) the optimal 2D place

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Alzidaneen, Ala, Raya Jaradat, Hani Ahmad, and Aouda Arfoa. "On Optimization of UAV and Tethered Balloon Placement Using Heuristic Algorithms." Jordan Journal of Electrical Engineering 11, no. 2 (2025): 1. https://doi.org/10.5455/jjee.204-1739608822.

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This paper presents an Unmanned Aerial Vehicle (UAV) and Tethered Balloons (TBs) placement optimization framework that adapts to real-time traffic variations in wireless networks. The optimization problem aims to maximize end-to-end network throughput and minimize service latency by dynamically positioning UAVs and TBs. The proposed approach employs heuristic algorithms - namely Recursive Random Search (RRS) and a Shrink-and-Realign (S & R) process - to optimize UAV and TB positioning. The obtained simulation results unveil that the dynamic placement strategy achieves a maximum throughput

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Ahmed, Ashfaq, Muhammad Awais, Tallha Akram, Selman Kulac, Musaed Alhussein, and Khursheed Aurangzeb. "Joint Placement and Device Association of UAV Base Stations in IoT Networks." Sensors 19, no. 9 (2019): 2157. http://dx.doi.org/10.3390/s19092157.

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Drone base stations (DBSs) have received significant research interest in recent years. They provide a flexible and cost-effective solution to improve the coverage, connectivity, quality of service (QoS), and energy efficiency of large-area Internet of Things (IoT) networks. However, as DBSs are costly and power-limited devices, they require an efficient scheme for their deployment in practical networks. This work proposes a realistic mathematical model for the joint optimization problem of DBS placement and IoT users’ assignment in a massive IoT network scenario. The optimization goal is to m

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Pinto, Luis Ramos, and Luis Almeida. "Optimal Relay Network for Aerial Remote Inspections." Sensors 22, no. 4 (2022): 1391. http://dx.doi.org/10.3390/s22041391.

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Unmanned aerial vehicles (UAVs), in particular multirotors, are becoming the de facto tool for aerial sensing and remote inspection. In large industrial facilities, a UAV can transmit an online video stream to inspect difficult-to-access structures, such as chimneys, deposits, and towers. However, the communication range is limited, constraining the UAV operation range. This limitation can be overcome with relaying UAVs placed between the source UAV and the control station, creating a line of communication links. In this work, we assume the use of a digital data packet network technology, name

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Shakhatreh, Hazim, Ali Alenezi, Ahmad Sawalmeh, Muhannad Almutiry, and Waed Malkawi. "Efficient Placement of an Aerial Relay Drone for Throughput Maximization." Wireless Communications and Mobile Computing 2021 (June 3, 2021): 1–11. http://dx.doi.org/10.1155/2021/5589605.

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Unmanned aerial vehicle (UAV) communication can be used in overcrowded areas and either during or postdisaster situations as an evolving technology to provide ubiquitous connections for wireless devices due to its flexibility, mobility, and good condition of the line of sight channels. In this paper, a single UAV is used as an aerial relay node to provide connectivity to wireless devices because of the considerable distance between wireless devices and the ground base station. Specifically, two path loss models have been utilized; a cellular-to-UAV path loss for a backhaul connection and an ai

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Bian, Yuan, Jianbo Hu, Shuo Wang, Yukai Hao, Wenjie Liu, and Chaoqi Fu. "Two-Hop Cooperative Caching and UAVs Deployment Based on Potential Game." Drones 7, no. 7 (2023): 465. http://dx.doi.org/10.3390/drones7070465.

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This paper explores the joint cache placement and 3D deployment of Unmanned Aerial Vehicle (UAV) groups, utilizing potential game theory and a two-hop UAV cooperative caching mechanism, which could create a tradeoff between latency and coverage. The proposed scheme consists of three parts: first, the initial 2D location of UAV groups is determined through K-means, with the optimal altitude based on the UAV coverage radius. Second, to balance the transmission delay and coverage, the MOS (Mean Opinion Score) and coverage are designed to evaluate the performance of UAV-assisted networks. Then, th

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Kholostov, K. M., A. V. Betskov, and A. S. Ovchinsky. "THE PROBLEM SOLUTION OF RATIONAL PLACEMENT OF UNMANNED AIRCRAFT GROUPS IN URBAN DEVELOPMENT AS PART OF AN OPERATIONAL RESPONSE SYSTEM." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 232 (October 2023): 12–21. http://dx.doi.org/10.14489/vkit.2023.10.pp.012-021.

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A method of rational placement in urban development of a grouping of unmanned aerial vehicles (aircraft) intended for information support of the police rapid response forces is proposed. By placement, in this case, it is meant to determine the composition of the grouping and the coordinates of the locations (take-off points) of unmanned aircraft that are part of it. As geographical objects for the placement of the aviation grouping, cities and urban areas are assumed, in the construction of which residential quarters, places of recreation and mass stay of people, transport and commercial facil

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FAIZULLIN, R. F., and E. A. MAGID. "PLACEMENT OF CHARGING STATIONS FOR A GROUP OF HOMOGENEOUS UNMANNED AERIAL VEHICLES IN LARGE-AREA COVERAGE MISSIONS." IZVESTIA VOLGOGRAD STATE TECHNICAL UNIVERSITY, no. 4 (299) (April 2025): 79–83. https://doi.org/10.35211/1990-5297-2025-4-299-79-83.

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The article deals with the problem of placing charging stations and planning routes for a group of UAVs covering large areas. We propose an algorithm that optimizes a distribution of tasks between UAVs and a placement of charging stations to reduce mission time, taking into account a charge level of a UAV battery and a number of charging stations.

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Xu, Woping, Junhui Tian, Li Gu, and Shaohua Tao. "Joint Placement and Power Optimization of UAV-Relay in NOMA Enabled Maritime IoT System." Drones 6, no. 10 (2022): 304. http://dx.doi.org/10.3390/drones6100304.

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In this paper, an unmanned aerial vehicle is utilized as an aerial relay to connect onshore base station with offshore users in a maritime IoT system with uplink non-orthogonal multiple access enabled. A coordinated direct and relay transmission scheme is adopted in the proposed system, where close shore maritime users directly communicate with onshore BS and offshore maritime users need assistance of an aerial relay to communicate with onshore BS. We aim to minimize the total transmit energy of the aerial relay by jointly optimizing the UAV hovering position and transmit power allocation. The

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Freixes, Alfons, Javier Panadero, Angel A. Juan, and Carles Serrat. "Combining the A* Algorithm with Neural Networks to Solve the Team Orienteering Problem with Obstacles and Environmental Factors." Algorithms 18, no. 6 (2025): 309. https://doi.org/10.3390/a18060309.

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This paper addresses the team orienteering problem applied to unmanned aerial vehicles (UAVs), considering obstacle avoidance and environmental factors such as wind conditions and payload weight. The objective is to optimize UAV routes to maximize collected rewards while adhering to operational constraints. To achieve this, we employ a simheuristic algorithm for the overall route optimization, while integrating the A* algorithm to determine feasible paths between nodes that avoid obstacles in a 2D grid-based environment. Then, a feedforward neural network estimates travel time based on UAV spe

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Quan, Xiaoya. "QoS-Aware Power Allocation for Multi-UAV Aided Networks." Journal of Physics: Conference Series 2113, no. 1 (2021): 012012. http://dx.doi.org/10.1088/1742-6596/2113/1/012012.

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Abstract UAV base stations (UAVBS’s) have been proposed as a revolution for the new architecture of 5G networks. The UAVBS’s can be deployed as access points to provide wireless services to users in emergency scenarios. However, it is challenging to solve the highly coupled problem for UAVBS deployment and power allocation. In the meanwhile, the hybrid analog and digital beamforming is leverage to reduce the hardware cost for beamforming in 5G networks. In this work, we first use k-means algorithm to solve the 3D placement of UAVBS’s by exploiting the optimal coverage altitude. Next, power all

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Dubey, Rahul, and Sushil J. Louis. "Genetic Algorithms Optimized Adaptive Wireless Network Deployment." Applied Sciences 13, no. 8 (2023): 4858. http://dx.doi.org/10.3390/app13084858.

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Advancements in UAVs have enabled them to act as flying access points that can be positioned to create an interconnected wireless network in complex environments. The primary aim of such networks is to provide bandwidth coverage to users on the ground in case of an emergency or natural disaster when existing network infrastructure is unavailable. However, optimal UAV placement for creating an ad hoc wireless network is an NP-hard and challenging problem because of the UAV’s communication range, unknown users’ distribution, and differing user bandwidth requirements. Many techniques have been pr

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Li, Xiaoyu, Long Suo, Wanguo Jiao, Xiaoming Liu, and Yunfei Liu. "Cooperative Overbooking-Based Resource Allocation and Application Placement in UAV-Mounted Edge Computing for Internet of Forestry Things." Drones 9, no. 1 (2024): 22. https://doi.org/10.3390/drones9010022.

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Due to the high mobility and low cost, unmanned aerial vehicle (UAV)-mounted edge computing (UMEC) provides an efficient way to provision computing offloading services for Internet of Forestry Things (IoFT) applications in forest areas without sufficient infrastructure. Multiple IoFT applications can be consolidated into fewer UAV-mounted servers to improve the resource utilization and reduce deployment costs with the precondition that all applications’ Quality of Service (QoS) can be met. However, most existing application placement schemes in UMEC did not consider the dynamic nature of the a

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Shakhatreh, Majd, Hazim Shakhatreh, and Ahmad Ababneh. "Efficient 3D Positioning of UAVs and User Association Based on Hybrid PSO-K-Means Clustering Algorithm in Future Wireless Networks." Mobile Information Systems 2023 (January 27, 2023): 1–11. http://dx.doi.org/10.1155/2023/6567897.

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Unmanned aerial vehicles (UAVs) play an important role in the future of 5G and 6G communication networks. UAV-assisted communication offers the benefits of improved network capacity and coverage. A typical communication setup is for UAVs to connect users to the core network via a backhaul channel. Some of the challenges in such a setup include user-UAV association and management of the backhaul channel. These two challenges are greatly impacted by the positioning of the UAVs in the network. In this article, we address these challenges by considering a joint UAV placement and user association p

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Shalunov, Sergei, Alexander Kurochkin, and Ekaterina Izmestyeva. "Comparative Analysis of Two UAV Local Positioning Methods and Formulation of Requirements for Their Experimental Validation." Telecom IT 11, no. 4 (2023): 48–64. https://doi.org/10.31854/2307-1303-2023-11-4-48-64.

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Problem Statement. The paper addresses the problem of local positioning of unmanned aerial vehicles (UAVs) under conditions of limited accessibility to global navigation satellite system (GNSS) signals. The purpose of the study is to quantitatively assess the accuracy of two different UAV positioning methods based on range measurements and varying configurations of ground-based infrastructure. Methods. An analytical assessment of geometric factors affecting coordinate estimation accuracy is conducted. A field experiment program using reference GPS coordinates is developed for the calibration a

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Song, Ha Yoon. "A Method of Mobile Base Station Placement for High Altitude Platform Based Network with Geographical Clustering of Mobile Ground Nodes." Journal of Telecommunications and Information Technology, no. 2 (June 26, 2023): 22–33. http://dx.doi.org/10.26636/jtit.2009.2.922.

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High altitude platforms (HAPs) such as unmanned aerial vehicles (UAVs) which can be deployed as stratospheric infrastructures enable a sort of new configurations of wireless networks. Ground nodes must be clustered in multiple sets and one dedicated UAV is assigned to each set and act as an mobile base station (MBS). For the intra-set nodes, UAVs must communicate each other in order to establish network links among intra-set nodes. Here we find a geographical clustering problem of networking nodes and a placement problem of MBSs. The clustering technique of mobile ground nodes can identify the

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Zhao, Renkai, and Gia Khanh Tran. "Three-Dimensional Trajectory Optimization for UAV-Based Post-Disaster Data Collection." Journal of Sensor and Actuator Networks 14, no. 3 (2025): 63. https://doi.org/10.3390/jsan14030063.

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In Japan, natural disasters occur frequently. Serious disasters may cause damage to traffic networks and telecommunication infrastructures, leading to the occurrence of isolated disaster areas. In this article, unmanned aerial vehicles (UAVs) are used for data collection instead of unavailable ground-based stations in isolated disaster areas. Detailed information about the damage situation will be collected from the user equipment (UE) by a UAV through a fly–hover–fly procedure, and then will be sent to the disaster response headquarters for disaster relief. However, mission completion time mi

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Wu, Chenyu, Shuo Shi, Shushi Gu, Lingyan Zhang, and Xuemai Gu. "Deep Reinforcement Learning-Based Content Placement and Trajectory Design in Urban Cache-Enabled UAV Networks." Wireless Communications and Mobile Computing 2020 (August 14, 2020): 1–11. http://dx.doi.org/10.1155/2020/8842694.

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Cache-enabled unmanned aerial vehicles (UAVs) have been envisioned as a promising technology for many applications in future urban wireless communication. However, to utilize UAVs properly is challenging due to limited endurance and storage capacity as well as the continuous roam of the mobile users. To meet the diversity of urban communication services, it is essential to exploit UAVs’ potential of mobility and storage resource. Toward this end, we consider an urban cache-enabled communication network where the UAVs serve mobile users with energy and cache capacity constraints. We formulate a

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Sawalmeh, Ahmad, Noor Othman, and Hazim Shakhatreh. "Efficient Deployment of Multi-UAVs in Massively Crowded Events." Sensors 18, no. 11 (2018): 3640. http://dx.doi.org/10.3390/s18113640.

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In this paper, the efficient 3D placement of UAV as an aerial base station in providing wireless coverage for users in a small and large coverage area is investigated. In the case of providing wireless coverage for outdoor and indoor users in a small area, the Particle Swarm Optimization (PSO) and K-means with Ternary Search (KTS) algorithms are invoked to find an efficient 3D location of a single UAV with the objective of minimizing its required transmit power. It was observed that a single UAV at the 3D location found using the PSO algorithm requires less transmit power, by a factor of 1/5 c

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Rodriguez, Veronica, Christian Tipantuña, Diego Reinoso, et al. "An Experimental Tethered UAV-Based Communication System with Continuous Power Supply." Future Internet 17, no. 7 (2025): 273. https://doi.org/10.3390/fi17070273.

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Ensuring reliable communication in remote or disaster-affected areas is a technical challenge due to unplanned deployment and mobilization, meaning placement difficulties and high operation costs of conventional telecommunications infrastructures. To address this problem, unmanned aerial vehicles (UAVs) have emerged as an excellent alternative to provide quick connectivity in remote or disaster-affected regions at a reasonable cost. However, the limited battery autonomy of UAVs restricts their flight service time. This paper proposes a communication system based on a tethered UAV (T-UAV) capab

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Menéndez, Oswaldo, Marcelo Pérez, and Fernando Auat Cheein. "Visual-Based Positioning of Aerial Maintenance Platforms on Overhead Transmission Lines." Applied Sciences 9, no. 1 (2019): 165. http://dx.doi.org/10.3390/app9010165.

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Unmanned aerial vehicles (UAVs) are an emerging and promising alternative for monitoring of transmission lines in terms of flexibility, complexity, working speed, and cost. One of the main challenges is to enable UAVs to become as autonomous as possible. A vital component toward this direction is the robust and accurate estimation of the UAV placement with respect to the transmission grid. This work faces this challenge by developing a transmission line autonomous tracking system, which allows the placement of a commercial drone over a transmission grid using a monocular camera. This feature p

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Atli, İbrahim, Metin Ozturk, Gianluca C. Valastro, and Muhammad Zeeshan Asghar. "Multi-Objective UAV Positioning Mechanism for Sustainable Wireless Connectivity in Environments with Forbidden Flying Zones." Algorithms 14, no. 11 (2021): 302. http://dx.doi.org/10.3390/a14110302.

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A communication system based on unmanned aerial vehicles (UAVs) is a viable alternative for meeting the coverage and capacity needs of future wireless networks. However, because of the limitations of UAV-enabled communications in terms of coverage, energy consumption, and flying laws, the number of studies focused on the sustainability element of UAV-assisted networking in the literature was limited thus far. We present a solution to this problem in this study; specifically, we design a Q-learning-based UAV placement strategy for long-term wireless connectivity while taking into account major

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Rodríguez, Wenceslao Eduardo, Ramiro Ibarra, Gerardo Romero, et al. "Comparison of Controllers for a UAV with Integral Effect and Kalman Estimator: By Bessel Polynomials and LQR." Applied Mechanics and Materials 436 (October 2013): 54–60. http://dx.doi.org/10.4028/www.scientific.net/amm.436.54.

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This paper presents the development of two different control techniques as an approach having to remove steady-state error present in the response of attitude of a mini unmanned aerial vehicle. A problem that arises when performing pole placement controller is the selection of the poles, the Bessel approximation allows the selection of the eigenvalues in function to a specified response time for a feedback pole placement controller and state estimator (observer). On the other hand presents an optimal control technique combined with Kalman filter to estimate the state affected by perturbations

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Hydher, Hassaan, Dushantha Nalin K. Jayakody, Kasun T. Hemachandra, and Tharaka Samarasinghe. "Intelligent UAV Deployment for a Disaster-Resilient Wireless Network." Sensors 20, no. 21 (2020): 6140. http://dx.doi.org/10.3390/s20216140.

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Deployment of unmanned aerial vehicles (UAVs) as aerial base stations (ABSs) has been considered to be a feasible solution to provide network coverage in scenarios where the conventional terrestrial network is overloaded or inaccessible due to an emergency situation. This article studies the problem of optimal placement of the UAVs as ABSs to enable network connectivity for the users in such a scenario. The main contributions of this work include a less complex approach to optimally position the UAVs and to assign user equipment (UE) to each ABS, such that the total spectral efficiency (TSE) o

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Mayor, Vicente, Rafael Estepa, and Antonio Estepa. "QoS-Aware Multilayer UAV Deployment to Provide VoWiFi Service over 5G Networks." Wireless Communications and Mobile Computing 2022 (January 28, 2022): 1–13. http://dx.doi.org/10.1155/2022/3110572.

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Drones equipped with wireless network cards can provide communication services in open areas. This paper proposes a hierarchical two-layered network architecture with two types of drones according to their communication equipment: Access and Distribution. While access drones provide WiFi access to ground users, distribution drones act as WiFi-to-5G relay forwarding packets into the 5G Core Network. In this context, we formulate a novel optimization problem for the 3-D initial placement of drones to provide Voice over WiFi (VoWiFi) service to ground users. Our optimization problem finds the min

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Kang, Xu, Yu Shao, Guanbing Bai, He Sun, Tao Zhang, and Dejiang Wang. "Dual-UAV Collaborative High-Precision Passive Localization Method Based on Optoelectronic Platform." Drones 7, no. 11 (2023): 646. http://dx.doi.org/10.3390/drones7110646.

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Utilizing the optical characteristics of the target for detection and localization does not require actively emitting signals and has the advantage of strong concealment. Once the optoelectronic platform mounted on the unmanned aerial vehicle (UAV) detects the target, the vector pointing to the target in the camera coordinate system can estimate the angle of arrival (AOA) of the target relative to the UAV in the Earth-centered Earth-fixed (ECEF) coordinate system through a series of rotation transformations. By employing two UAVs and the corresponding AOA measurements, passive localization of

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Raffo, Guilherme V., and Marcelino M. de Almeida. "A Load Transportation Nonlinear Control Strategy Using a Tilt-Rotor UAV." Journal of Advanced Transportation 2018 (June 27, 2018): 1–20. http://dx.doi.org/10.1155/2018/1467040.

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This paper proposes a nonlinear control strategy to solve the trajectory tracking problem of a tilt-rotor Unmanned Aerial Vehicle (UAV) when transporting a suspended load. For the present study, the aim of the control system is to track a desired trajectory of the aircraft with load’s swing-free, even in the presence of external disturbances, parametric uncertainties, unmodeled dynamics, and noisy position measurements with lower sampling frequency than the controller. The whole system modeling is obtained through the Euler-Lagrange formulation considering the dynamics of the tilt-rotor UAV co

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et al., Malkawi. "3D placements of drones in a millimeter-wave network to maximize the lifetime of wireless devices." International Journal of ADVANCED AND APPLIED SCIENCES 8, no. 11 (2021): 119–28. http://dx.doi.org/10.21833/ijaas.2021.11.015.

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In the last few years, the use of drones is increasing day by day in wireless networks and the applications of them are rapidly increased on different sides. Now, we can use the drone as an aerial base station (BS) to support cellular networks in emergency cases and in natural disasters. To take the advantage of both drones and fifth-generation (5G) and link between their features, we study an aerial BS considering millimeter waves (mm-waves). In this paper, we optimize the 3D placements for multiple unmanned aerial vehicles (UAVs) in an mm-wave network to achieve maximum time durations of the

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Wu, Yuchen, Zhijian Wei, Huilin Liu, et al. "Advanced UAV Material Transportation and Precision Delivery Utilizing the Whale-Swarm Hybrid Algorithm (WSHA) and APCR-YOLOv8 Model." Applied Sciences 14, no. 15 (2024): 6621. http://dx.doi.org/10.3390/app14156621.

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This paper proposes an effective material delivery algorithm to address the challenges associated with Unmanned Aerial Vehicle (UAV) material transportation and delivery, which include complex route planning, low detection precision, and hardware limitations. This novel approach integrates the Whale-Swarm Hybrid Algorithm (WSHA) with the APCR-YOLOv8 model to enhance efficiency and accuracy. For path planning, the placement paths are transformed into a Generalized Traveling Salesman Problem (GTSP) to be able to compute solutions. The Whale Optimization Algorithm (WOA) is improved for balanced g

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Kuznetsov, K. A., A. I. Paramonov, A. S. A. Muthanna, and A. E. Kucheryavy. "Model and Methods of Traffic Routing in a Communication Network Using UAVs." Proceedings of Telecommunication Universities 10, no. 4 (2024): 62–72. http://dx.doi.org/10.31854/1813-324x-2024-10-4-62-72.

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Relevance. The development of 5G networks and subsequent generations is accompanied by the development of new services, in particular, virtual, augmented reality services, as well as telepresence, as well as radio access networks. In particular, there is an increase in operating frequencies, which poses additional challenges for organizing a network that can meet the requirements for the quality of traffic service from new services and ensure the availability of communication to users. These problems can be solved by various methods of placing access points, including using UAVs. This approach

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Kim, Namhoon, Sangho Baek, and Gihong Kim. "Absolute IOP/EOP Estimation Models without Initial Information of Various Smart City Sensors." Sensors 23, no. 2 (2023): 742. http://dx.doi.org/10.3390/s23020742.

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In smart cities, a large amount of optical camera equipment is deployed and used. Closed-circuit television (CCTV), unmanned aerial vehicles (UAVs), and smartphones are some examples of such equipment. However, additional information about these devices, such as 3D position, orientation information, and principal distance, is not provided. To solve this problem, the structured mobile mapping system point cloud was used in this study to investigate methods of estimating the principal point, position, and orientation of optical sensors without initial given values. The principal distance was cal

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Tran, T. D., and A. E. Koucheryavy. "Resource Optimization of Airborne Base Stations Using Artificial Intelligence Methods." Proceedings of Telecommunication Universities 11, no. 1 (2025): 62–68. https://doi.org/10.31854/1813-324x-2025-11-1-62-68.

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In remote areas and disaster-stricken regions, unmanned aerial vehicles (UAVs) can serve as base stations, providing wireless communication to ground users. Due to their high mobility, low cost, and rapid deployment and retrieval capabilities, UAVs can continuously adjust their position in three-dimensional (3D) space, improving wireless connectivity and enhancing data transmission rates. In this paper, we investigate the problem of ABS (Aerial Base Station) deployment in 3D space and power allocation with the aim of maximizing the data transmission rate in the system. To address this non-conv

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