Relevant bibliographies by topics / UAV communication

Academic literature on the topic 'UAV communication'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "UAV communication"

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Yoon, Jiyoung, Hyojun Lee, and Kyung-Jun Park. "UAV System Security Enhancement in Wi-Fi Communication Between UAV and GCS." Journal of Korean Institute of Communications and Information Sciences 45, no. 4 (April 30, 2020): 686–90. http://dx.doi.org/10.7840/kics.2020.45.4.686.

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Kapoor, Rajesh, Aasheesh Shukla, and Vishal Goyal. "Performance evaluation of unmanned aerial vehicle communication by increasing antennas of cellular base stations." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 1 (July 1, 2022): 222. http://dx.doi.org/10.11591/ijeecs.v27.i1.pp222-237.

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The utilization of unmanned aerial vehicles (UAVs) increases with increased performance of their communication link with the ground remote station. Integrating UAVs with existing cellular networks provides the possibility of enhanced performance of communication links. The base stations of existing cellular networks are installed with fixed number of antennas. The performance of UAV communication links can be further enhanced by increasing antennas of cellular base stations of existing networks using multiple antenna techniques such as multi ple input multiple output (MIMO). In this proposed scheme, Massive MIMO technology is used for UAV communications, wherein hundreds of antennas are mounted on cellular base stations. This set up provides significant advantage in terms of enhancement in per formance of UAV communication links, as compared to existing methods of UAV communication. In this paper, performance evaluation of UAV communication links is carried out by increasing the number of antennas at base stations of existing cellular networks. For this evaluation, firstly basic multiple antennas techniques such as point - to - point MIMO and multi - user MIMO (MU - MIMO) are covered based on existing studies and findings. Subsequently, an antenna dependent closed form expression for uplink channel capac ity of massive MIMO based UAV communication links is derived, with few numerical results.
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Li, Ju, and Fengjun Shang. "Research on Performance Optimization Method of UAV Communication Link in Emergency Communication Environment." Security and Communication Networks 2022 (May 19, 2022): 1–7. http://dx.doi.org/10.1155/2022/5098730.

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Aiming at the problem of long average delay of traditional UAV emergency communication, a performance optimization method of UAV communication link based on emergency communication environment is proposed. The target tasks in the emergency communication channel are divided into different target task groups. According to the distance between the target tasks in the target task group, the symmetric matrix is constructed, all elements in the symmetric matrix are classified, and the classification results are calculated by ant colony algorithm to construct the emergency communication task scheduling model of UAV. Combined with the emergency communication task scheduling model and the demand, priority, time window, and communication ability of UAV emergency scheduling task, the time delay control of UAV emergency communication is realized with the goal of maximizing the efficiency of UAV task execution, maximizing the completion rate of UAV task execution and minimizing the risk of UAV delay. The experimental results show that the average delay of the three methods also increases. When the system load is 50%, the average delay of common methods is 23 ms, the average delay of traditional methods is 76 ms, the average delay of the method proposed in this paper is 26 ms, and the common average delay is the shortest. When the system load is 99%, the common methods cannot realize emergency communication scheduling due to system load overshoot, and the corresponding average delay cannot be considered, indicating that the common methods are unstable. The average delay of the method proposed in this paper is stable under different system loads and always remains below 40 ms. It is proved that compared with the traditional methods, the method proposed in this paper takes less time for UAV emergency communication and has less average delay under different system loads, so it has better application value.
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Atoev, Sukhrob, Oh-Heum Kwon, Suk-Hwan Lee, and Ki-Ryong Kwon. "An Efficient SC-FDM Modulation Technique for a UAV Communication Link." Electronics 7, no. 12 (November 25, 2018): 352. http://dx.doi.org/10.3390/electronics7120352.

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Since the communication link of an unmanned aerial vehicle (UAV) and its reliability evaluation represent an arduous field, we have concentrated our work on this topic. The demand regarding the validity and reliability of the communication and data link of UAV is much higher since the environment of the modern battlefield is becoming more and more complex. Therefore, the communication channel between the vehicle and ground control station (GCS) should be secure and provide an efficient data link. In addition, similar to other types of communications, the data link of a UAV has several requirements such as long-range operation, high efficiency, reliability, and low latency. In order to achieve an efficient data link, we need to adopt a highly efficient modulation technique, which leads to an increase in the flight time of the UAV, data transmission rate, and the reliability of the communication link. For this purpose, we have investigated the single-carrier frequency division multiplexing (SC-FDM) modulation technique for a UAV communication system. The results obtained from the comparative study demonstrate that SC-FDM has better performance than the currently used modulation technique for a UAV communication link. We expect that our proposed approach can be a remarkable framework that will help drone manufacturers to establish an efficient UAV communication link and extend the flight duration of drones, especially those being used for search and rescue operations, military tasks, and delivery services.
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Wang, Changyu, Weili Yu, Jinrong Lu, Fusheng Zhu, Lihua Fan, and Shengping Li. "UAV-Based Physical-Layer Intelligent Technologies for 5G-Enabled Internet of Things: A Survey." Wireless Communications and Mobile Computing 2022 (January 28, 2022): 1–5. http://dx.doi.org/10.1155/2022/4351518.

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In recent years, the utilization and application of unmanned aerial vehicle (UAV) have attracted much attention, both from academy and industry. UAVs have been widely used in many practical communication scenarios, due to its high flexibility, high mobility, and low cost. Therefore, this paper addresses the key technologies of UAV communication and reviews the current research status, from various aspects including UAV communication transmission, UAV formation control and networking, UAV resource allocation, and intelligent communication from artificial intelligence algorithms. Then, artificial intelligence is introduced into multiple aspects of UAV communication, including channel transmission, control and networking, and resource scheduling, to organically integrate artificial intelligence into UAV communication, which can help reduce the complexity of communication algorithms and improve system spectrum efficiency. This paper will help improve the efficiency of UAV communication and promote the development of UAV-related industries.
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Mani, Prashant, Pankaj Singh, Abhishek Singhal, and Apoorv Katiyar. "Design and Simulation of Smart Communication System for Unmanned Arial Vehicles." International Journal of Computers and Communications 15 (November 29, 2021): 89–94. http://dx.doi.org/10.46300/91013.2021.15.15.

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In recent years, the use of drones has drastically increased as the evolution of drone use in commercial sectors and reduced costs of the hardware. Earlier drone services were mostly used for military operations but nowadays the Unmanned Arial Vehicles (UAV) system is very advanced and its applications are not limited to military operations. The recent years have also witnessed a network evolution of UAVs from single ground to air network to multi-UAV network systems along with usage of wireless public networks like LTE which can act as UAV communication channel. In the proposed project, a communication system used in the UAS system is simulated to analyze the UAV behavior under different conditions with respect to mission planning and the communication networks used. A comprehensive study is done on communication networks used in controlling UAVs. For a safer approach, the proposed model is simulated using available software instead of hardware implementations. ArduPilot SITL, MAVProxy and Mission Planner are used to simulate the UAV system virtually. Whereas network simulations of Wi-Fi and LTE network are done with the help of NS-3 on a separate platform. Various network parameters like network delay, throughput, etc., are graphically represented.
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Vaigandla, Karthik Kumar, Sravani Thatipamula, and Radha Krishna Karne. "Investigation on Unmanned Aerial Vehicle (UAV): An Overview." IRO Journal on Sustainable Wireless Systems 4, no. 3 (August 2, 2022): 130–48. http://dx.doi.org/10.36548/jsws.2022.3.001.

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Unmanned Aerial Vehicles (UAVs) are becoming increasingly popular these days. One among the major technological developments of today are UAVs or drones. The coordination and coverage capabilities of large clusters of UAVs, or their cooperative capabilities for such goals as terrain mapping, make them of particular interest. This paper explores the use of unmanned aerial vehicles in smart and modern cities in depth. Future wireless networks will likely include UAVs to facilitate wireless broadcasting and support high-speed transmissions. Various layer techniques are discussed in this paper. Moreover, an overview of the latest UAV communication technologies and network topologies has been presented. Military and commercial applications have attracted a lot of interest in unmanned aerial vehicles. Due to their low cost and flexible deployment, UAVs are considered valuable in 5G and 6G networks due to their communication capabilities. Like aerial base stations, relays, or mobile users in cellular networks, UAVs can provide airborne wireless coverage in a variety of ways. Wireless links can only be established temporarily with UAVs. A great challenge is to extend UAV communication's lifetime and develop low-power, green UAV communication. A comprehensive study of green UAV communications has been presented in this paper. Furthermore, an overview of UAV applications is also illustrated. Additionally, some promising research topics and methods are being discussed.
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Caillouet, Christelle, and Nathalie Mitton. "Optimization and Communication in UAV Networks." Sensors 20, no. 18 (September 4, 2020): 5036. http://dx.doi.org/10.3390/s20185036.

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Nowadays, Unmanned Aerial Vehicles (UAVs) have received growing popularity in the Internet-of-Things (IoT) which often deploys many sensors in a relatively wide region. Current trends focus on deployment of a single UAV or a swarm of it to generally map an area, perform surveillance, monitoring or rescue operations, collect data from ground sensors or various communicating devices, provide additional computing services close to data producers, etc. Applications are very diverse and call for different features or requirements. But UAV remain low-power battery powered devices that in addition to their mission, must fly and communicate. Thanks to wireless communications, they participate to mobile dynamic networks composed of UAV and ground sensors and thus many challenges have to be addressed to make UAV very efficient. And behind any UAV application, hides an optimization problem. There is still a criterion or multiple ones to optimize such as flying time, energy consumption, number of UAV, quantity of data to send/receive, etc.
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Nasir, Ali Arshad, Hoang Duong Tuan, Trung Q. Duong, and H. Vincent Poor. "UAV-Enabled Communication Using NOMA." IEEE Transactions on Communications 67, no. 7 (July 2019): 5126–38. http://dx.doi.org/10.1109/tcomm.2019.2906622.

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Mardani, Afshin, Marcello Chiaberge, and Paolo Giaccone. "Communication-Aware UAV Path Planning." IEEE Access 7 (2019): 52609–21. http://dx.doi.org/10.1109/access.2019.2911018.

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Dissertations / Theses on the topic "UAV communication"

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Joseph, Jose. "UAV Path Planning with Communication Constraints." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563872872304696.

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Mohini, Arshi. "CDSSim - Multi UAV Communication and Control Simulation Framework." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1554373574457271.

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Jeoun, Kristina S. "The tactical network operations communication coordinator in mobile UAV networks." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Jun%5FJeoun.pdf.

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Christmann, Hans Claus. "Communication-aware planning aid for single-operator multi-UAV teams in urban environments." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53881.

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With the achievement of autonomous flight for small unmanned aircraft, currently ongoing research is expanding the capabilities of systems utilizing such vehicles for various tasks. This allows shifting the research focus from the individual systems to task execution benefits resulting from interaction and collaboration of several aircraft. Given that some available high-fidelity simulations do not yet support multi-vehicle scenarios, the presented work introduces a framework which allows several individual single-vehicle simulations to be combined into a larger multi-vehicle scenario with little to no special requirements towards the single-vehicle systems. The created multi-vehicle system offers real-time software-in-the-loop simulations of swarms of vehicles across multiple hosts and enables a single operator to command and control a swarm of unmanned aircraft beyond line-of-sight in geometrically correct two-dimensional cluttered environments through a multi-hop network of data-relaying intermediaries. This dissertation presents the main aspects of the developed system: the underlying software framework and application programming interface, the utilized inter- and intra-system communication architecture, the graphical user interface, and implemented algorithms and operator aid heuristics to support the management and placement of the vehicles. The effectiveness of the aid heuristics is validated through a human subject study which showed that the provided operator support systems significantly improve the operators' performance in a simulated first responder scenario. The presented software is released under the Apache License 2.0 and, where non-open-source parts are used, software packages with free academic licenses have been chosen--resulting in a framework that is completely free for academic research.
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Yang, Shun Yu. "OPNET/STK integrated environment for modeling an UAV network." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03sep%5FYang.pdf.

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Thesis (M.S. in Systems Engineering)--Naval Postgraduate School, September 2003.
Thesis advisor(s): Alex Bordetsky, Rex Buddenberg. Includes bibliographical references (p. 45). Also available online.
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Elchin, Mammadov. "Long-range Communication Framework for Autonomous UAVs." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24309.

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The communication range between a civilian Unmanned Aerial Vehicle (UAV) and a Ground Control Station (GCS) is affected by the government regulations that determine the use of frequency bands and constrain the amount of power in those frequencies. The application of multiple UAVs in search and rescue operations for example demands a reliable, long-range inter-UAV communication. The inter-UAV communication is the ability of UAVs to exchange data among themselves, thus forming a network in the air. This ability could be used to extend the range of communication by using a decentralized routing technique in the network. To provide this ability to a fleet of autonomous dirigible UAVs being developed at the University of Ottawa, a new communication framework was introduced and implemented. Providing a true mesh networking based on a novel routing protocol, the framework combines long-range radios at 900 MHz Industrial, Scientific and Medical (ISM) band with the software integrated into the electronics platform of each dirigible. With one radio module per dirigible the implemented software provides core functionalities to each UAV, such as exchanging flight control commands, telemetry data, and photos with any other UAV in a decentralized network or with the GCS. We made use of the advanced networking tools of the radio modules to build capabilities into the software for route tracing, traffic prioritization, and minimizing self-interference. Initial test results showed that without acknowledgements, packets can be received in the wrong order and cause errors in the transmission of photos. In addition, a transmission in a presence of a third broadcasting node slows down by 4-6 times. Based on these results our software was improved to control to flow of transmit data making the fragmentation, packetization, and reassembly of photos more reliable. Currently, using radios with half-wavelength dipole antennas we can achieve a one-hop communication range of up to 5 km with the radio frequency line-of-sight (RF LOS). This can be extended further by adding as many radio nodes as needed to act as intermediate hops.
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Pala, Fatih. "Frequency and polarization diversity simulations for Urban UAV communication and data links." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Sep%5FPala.pdf.

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Mahdoui, Chedly Nesrine. "Communicating multi-UAV system for cooperative SLAM-based exploration." Thesis, Compiègne, 2018. http://www.theses.fr/2018COMP2447/document.

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Dans la communauté robotique aérienne, un croissant intérêt pour les systèmes multirobot (SMR) est apparu ces dernières années. Cela a été motivé par i) les progrès technologiques, tels que de meilleures capacités de traitement à bord des robots et des performances de communication plus élevées, et ii) les résultats prometteurs du déploiement de SMR tels que l’augmentation de la zone de couverture en un minimum de temps. Le développement d’une flotte de véhicules aériens sans pilote (UAV: Unmanned Aerial Vehicle) et de véhicules aériens de petite taille (MAV: Micro Aerial Vehicle) a ouvert la voie à de nouvelles applications à grande échelle nécessitant les caractéristiques de tel système de systèmes dans des domaines tels que la sécurité, la surveillance des catastrophes et des inondations, la recherche et le sauvetage, l’inspection des infrastructures, et ainsi de suite. De telles applications nécessitent que les robots identifient leur environnement et se localisent. Ces tâches fondamentales peuvent être assurées par la mission d’exploration. Dans ce contexte, cette thèse aborde l’exploration coopérative d’un environnement inconnu en utilisant une équipe de drones avec vision intégrée. Nous avons proposé un système multi-robot où le but est de choisir des régions spécifiques de l’environnement à explorer et à cartographier simultanément par chaque robot de manière optimisée, afin de réduire le temps d’exploration et, par conséquent, la consommation d’énergie. Chaque UAV est capable d’effectuer une localisation et une cartographie simultanées (SLAM: Simultaneous Localization And Mapping) à l’aide d’un capteur visuel comme principale modalité de perception. Pour explorer les régions inconnues, les cibles – choisies parmi les points frontières situés entre les zones libres et les zones inconnues – sont assignées aux robots en considérant un compromis entre l’exploration rapide et l’obtention d’une carte détaillée. À des fins de prise de décision, les UAVs échangent habituellement une copie de leur carte locale, mais la nouveauté dans ce travail est d’échanger les points frontières de cette carte, ce qui permet d’économiser la bande passante de communication. L’un des points les plus difficiles du SMR est la communication inter-robot. Nous étudions cette partie sous les aspects topologiques et typologiques. Nous proposons également des stratégies pour faire face à l’abandon ou à l’échec de la communication. Des validations basées sur des simulations étendues et des bancs d’essai sont présentées
In the aerial robotic community, a growing interest for Multi-Robot Systems (MRS) appeared in the last years. This is thanks to i) the technological advances, such as better onboard processing capabilities and higher communication performances, and ii) the promising results of MRS deployment, such as increased area coverage in minimum time. The development of highly efficient and affordable fleet of Unmanned Aerial Vehicles (UAVs) and Micro Aerial Vehicles (MAVs) of small size has paved the way to new large-scale applications, that demand such System of Systems (SoS) features in areas like security, disaster surveillance, inundation monitoring, search and rescue, infrastructure inspection, and so on. Such applications require the robots to identify their environment and localize themselves. These fundamental tasks can be ensured by the exploration mission. In this context, this thesis addresses the cooperative exploration of an unknown environment sensed by a team of UAVs with embedded vision. We propose a multi-robot framework where the key problem is to cooperatively choose specific regions of the environment to be simultaneously explored and mapped by each robot in an optimized manner in order to reduce exploration time and, consequently, energy consumption. Each UAV is able to performSimultaneous Localization And Mapping (SLAM) with a visual sensor as the main input sensor. To explore the unknown regions, the targets – selected from the computed frontier points lying between free and unknown areas – are assigned to robots by considering a trade-off between fast exploration and getting detailed grid maps. For the sake of decision making, UAVs usually exchange a copy of their local map; however, the novelty in this work is to exchange map frontier points instead, which allow to save communication bandwidth. One of the most challenging points in MRS is the inter-robot communication. We study this part in both topological and typological aspects. We also propose some strategies to cope with communication drop-out or failure. Validations based on extensive simulations and testbeds are presented
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Sabo, Chelsea M. S. "Routing and Allocation of Unmanned Aerial Vehicles with Communication Considerations." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1352992466.

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Gardner, Michael Alan. "A Feasibility Study of Cellular Communication and Control of Unmanned Aerial Vehicles." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1609109/.

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Consumer drones have used both standards such as Wi-Fi as well as proprietary communication protocols, such as DJI's OcuSync. While these methods are well suited to certain flying scenarios, they are limited in range to around 4.3 miles. Government and military unmanned aerial vehicles (UAVs) controlled through satellites allow for a global reach in a low-latency environment. To address the range issue of commercial UAVs, this thesis investigates using standardized cellular technologies for command and control of UAV systems. The thesis is divided into five chapters: Chapter 1 is the introduction to the thesis. Chapter 2 describes the equipment used as well as the test setup. This includes the drone used, the cellular module used, the microcontroller used, and a description of the software written to collect the data. Chapter 3 describes the data collection goals, as well as locations in the sky that were flown in order to gather experimental data. Finally, the results are presented in Chapter 4, which draws limited correlation between the collected data and flight readiness Chapter 5 wraps up the thesis with a conclusion and future areas for research are also presented.
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Books on the topic "UAV communication"

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Majumdar, Arun K. Laser Communication with Constellation Satellites, UAVs, HAPs and Balloons. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-03972-0.

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Musial, Marek. System architecture of small autonomous UAVs: Requirements and design approaches in control, communication, and data processing. Saarbrücken: VDM Verlag Dr. Müller, 2008.

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SC-186, RTCA (Firm). Minimum operational performance standards for Universal Access Transceiver (UAT) Automatic Dependent Surveillance Broadcast (ADS-B). Washington, DC: RTCA, Inc., 2002.

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Optimization and Communication in UAV Networks. MDPI, 2020. http://dx.doi.org/10.3390/books978-3-03943-311-7.

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The Tactical Network Operations Communication Coordinator in Mobile UAV Networks. Storming Media, 2004.

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Frequency and Polarization Diversity Simulations for Urban UAV communication and Data Links. Storming Media, 2004.

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Brodņevs, Deniss. Analysis of the Performance of Cellular Mobile Networks for the Remote-Control Systems of Unmanned Aerial Vehicles. Summary of the Doctoral Thesis. RTU Press, 2021. http://dx.doi.org/10.7250/9789934227097.

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The Thesis is concerned with assessing the suitability of LTE (4G) cellular networks for the remote control of low-flying UAVs. To solve this problem, an approach to the analysis of the delay values in cellular networks has been developed, which makes it possible to estimate the delays of individual cells and overall cellular network. Requirements for delays in the UAV control channel were developed, conclusions were drawn about the suitability of the LTE network as a communication solution for the UAV remote control. A method for calculating the effect of parallel redundancy is proposed, and an experimental assessment of the possibility of using two existing solutions for parallel redundancy in LTE networks is carried out. In addition, a compact technical solution for analyzing the level of base station signals was demonstrated.
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Sterbenz, James P. G., Jae H. Kim, Serge Chaumette, and Kamesh Namuduri. UAV Networks and Communications. Cambridge University Press, 2017.

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UAV Networks and Communications. University of Cambridge ESOL Examinations, 2017.

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Namuduri, Kamesh, Serge Chaumette, Jae H. Kim, and James P. G. Sterbenz, eds. UAV Networks and Communications. Cambridge University Press, 2017. http://dx.doi.org/10.1017/9781316335765.

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Book chapters on the topic "UAV communication"

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Ranjan, Prashant, Ram Shringar Rao, Krishna Kumar, and Pankaj Sharma. "UAV." In Wireless Communication, 151–62. New York: CRC Press, 2022. http://dx.doi.org/10.1201/9781003181699-8.

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Valavanis, Kimon P., and George J. Vachtsevanos. "UAV Communication Issues: Introduction." In Handbook of Unmanned Aerial Vehicles, 713–14. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-90-481-9707-1_138.

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Goswami, Meghna, Rajeev Arya, and Prateek. "UAV Communication in FANETs with Metaheuristic Techniques." In Advances in Intelligent Systems and Computing, 1–11. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4851-2_1.

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Nikookar, Homayoun. "UAV Communication Networks: Problems and Possible Solutions." In Security within CONASENSE Paragon, 85–94. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339403-6.

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Daniec, Krzysztof, Karol Jędrasiak, Roman Koteras, Aleksander Nawrat, and Tadeusz Topór-Kamiński. "The Dedicated Wireless Communication Device for Group of Unmanned Vehicles." In Vision Based Systemsfor UAV Applications, 247–55. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00369-6_16.

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Pedro, Dário, André Mora, João Carvalho, Fábio Azevedo, and José Fonseca. "ColANet: A UAV Collision Avoidance Dataset." In IFIP Advances in Information and Communication Technology, 53–62. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45124-0_5.

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Park, Youngsoo, and Ilkyeong Moon. "UAV Set Covering Problem for Emergency Network." In IFIP Advances in Information and Communication Technology, 84–90. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29996-5_10.

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Xu, Yanming, Wei Pei, Yongying Zhu, Mingyu Lu, and Lei Wu. "Speed Optimization of UAV Vehicle Tracking Algorithm." In IFIP Advances in Information and Communication Technology, 390–99. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68121-4_42.

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Nicolae, Maximilian, Dan Popescu, Radu Dobrescu, and Cristian Mateescu. "Improving Communication Efficiency of Hybrid UAV-WSN Systems." In Advances in Intelligent Systems and Computing, 407–15. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21290-6_41.

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Schelle, Alexander, and Peter Stütz. "Visual Communication with UAV: Use Cases and Achievements." In Computer Analysis of Images and Patterns, 120–28. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29930-9_12.

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Conference papers on the topic "UAV communication"

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Newcome, Laurence. "Airborne Communication Node Market Analysis." In 1st UAV Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-3507.

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Brodniansky, Martin, and Andrej Andrej. "Design of UAV detection system utilizing communication monitoring." In Práce a štúdie. University of Zilina, 2021. http://dx.doi.org/10.26552/pas.z.2021.2.04.

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Aim of the paper is to design a system capable of detecting unmanned aerial vehicles utilizing radio communication sensing. The need to detect UAVs is caused by combination of their compact size, sensing capabilities, autonomous nature, ways of misusing them or their spread among unprofessional users unaware of their own risky handling of UAV. All these factors can lead to serious security threats and risk to human lives or infrastructure. In this paper, radio communication detection system is proposed as part of a robust system where radio detection is supplemented by other methods, to maximise probability of UAV detection. Significant attention was dedicated to deeper analysis of current progress in the area of radio communication detection systems as well as acoustic, visual and radar detection. Based on this analysis, all systems were compared together based on probability of detection and distances of detection. Comparation together with different properties of detection methods were basic stepping stone for final system proposal. Robust detection system was successfully designed with radio detection as its primary component, radar detection serving primarily as localizer of UAV, acoustic system serving as backup for detection of UAVs without radio communication and visual system for final confirmation of UAV, its model and presence of camera or load
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Militaru, Gabriel, Dan Popescu, and Loretta Ichim. "UAV-to-UAV Communication Options for Civilian Applications." In 2018 26th Telecommunications Forum (TELFOR). IEEE, 2018. http://dx.doi.org/10.1109/telfor.2018.8612108.

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Wen, Chaoyang, Ling Qiu, and Xiaowen Liang. "Securing UAV Communication with Mobile UAV Eavesdroppers: Joint Trajectory and Communication Design." In 2021 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2021. http://dx.doi.org/10.1109/wcnc49053.2021.9417318.

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Mardani, Afshin, Marcello Chiaberge, and Paolo Giaccone. "Communication-Aware UAV Path Planning." In 2018 6th IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE). IEEE, 2018. http://dx.doi.org/10.1109/wisee.2018.8637355.

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Rodrigues, Mariana, Jean Amaro, Fernando Santos Osorio, and Branco Kalinka. R. L. J. C. "Authentication Methods for UAV Communication." In 2019 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2019. http://dx.doi.org/10.1109/iscc47284.2019.8969732.

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Militaru, Gabriel, Dan Popescu, and Loretta Ichim. "UAV to Satellite Communication Systems." In 2019 IEEE Radio and Antenna Days of the Indian Ocean (RADIO). IEEE, 2019. http://dx.doi.org/10.23919/radio46463.2019.8968861.

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Samanth, Snehal, K. V. Prema, and Mamatha Balachandra. "UAV Aerial Survey and Communication." In 2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER). IEEE, 2021. http://dx.doi.org/10.1109/discover52564.2021.9663727.

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Manzoor, Aunas, Tri Nguyen Dang, and Choong Seon Hong. "UAV Trajectory Design for UAV-2-GV Communication in VANETs." In 2021 International Conference on Information Networking (ICOIN). IEEE, 2021. http://dx.doi.org/10.1109/icoin50884.2021.9333983.

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Xu, Mingzhi, Kuan Wu, Jianchao Chen, Xiaojing Huang, and Ming Jiang. "Position Optimization for Swarm-based UAV-to-UAV Communication Systems." In 19th International Conference on Wireless Networks and Mobile Systems. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0011319900003286.

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Reports on the topic "UAV communication"

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Miller, Scott A., Zachary A. Harris, and Edwin K. Chong. UAV Communication Management and Coordination for Multitarget Tracking. Fort Belvoir, VA: Defense Technical Information Center, February 2009. http://dx.doi.org/10.21236/ada495739.

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Roberts, R. S. Cooperative UAV-Based Communications Backbone for Sensor Networks. Office of Scientific and Technical Information (OSTI), October 2001. http://dx.doi.org/10.2172/15003401.

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Bostian, Charles W., and Alexander R. Young. Low-cost Cognitive Electronics Technology for Enhanced Communications and Situational Awareness for Networks of Small Unmanned Aerial Vehicles (UAV). Fort Belvoir, VA: Defense Technical Information Center, March 2013. http://dx.doi.org/10.21236/ada582601.

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Chen, Gang, and Zhengyuan Xu. Performance Limits of Non-Line-of-Sight UV Communications. Fort Belvoir, VA: Defense Technical Information Center, January 2012. http://dx.doi.org/10.21236/ada558114.

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