Academic literature on the topic 'UAV-aided communications'

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Journal articles on the topic "UAV-aided communications"

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Lee, Hoon, Subin Eom, Junhee Park, and Inkyu Lee. "UAV-Aided Secure Communications With Cooperative Jamming." IEEE Transactions on Vehicular Technology 67, no. 10 (October 2018): 9385–92. http://dx.doi.org/10.1109/tvt.2018.2853723.

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Xi, Xing, Xianbin Cao, Peng Yang, Jingxuan Chen, Tony Quek, and Dapeng Wu. "Joint User Association and UAV Location Optimization for UAV-Aided Communications." IEEE Wireless Communications Letters 8, no. 6 (December 2019): 1688–91. http://dx.doi.org/10.1109/lwc.2019.2937077.

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Feng, Wanmei, Jie Tang, Nan Zhao, Yuli Fu, Xiuyin Zhang, Kanapathippillai Cumanan, and Kai-Kit Wong. "NOMA-based UAV-aided networks for emergency communications." China Communications 17, no. 11 (November 2020): 54–66. http://dx.doi.org/10.23919/jcc.2020.11.005.

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Han, Rui, Lin Bai, Yongqing Wen, Jianwei Liu, Jinho Choi, and Wei Zhang. "UAV-Aided Backscatter Communications: Performance Analysis and Trajectory Optimization." IEEE Journal on Selected Areas in Communications 39, no. 10 (October 2021): 3129–43. http://dx.doi.org/10.1109/jsac.2021.3088676.

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Wang, Lu, Yue Ling Che, Jinfeng Long, Lingjie Duan, and Kaishun Wu. "Multiple Access MmWave Design for UAV-Aided 5G Communications." IEEE Wireless Communications 26, no. 1 (February 2019): 64–71. http://dx.doi.org/10.1109/mwc.2018.1800216.

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Feng, Wei, Jingchao Wang, Yunfei Chen, Xuanxuan Wang, Ning Ge, and Jianhua Lu. "UAV-Aided MIMO Communications for 5G Internet of Things." IEEE Internet of Things Journal 6, no. 2 (April 2019): 1731–40. http://dx.doi.org/10.1109/jiot.2018.2874531.

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Fawaz, Wissam, Chadi Abou-Rjeily, and Chadi Assi. "UAV-Aided Cooperation for FSO Communication Systems." IEEE Communications Magazine 56, no. 1 (January 2018): 70–75. http://dx.doi.org/10.1109/mcom.2017.1700320.

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Zuo, Xingxuan, Lingfeng Shen, Gangtao Han, and Xiaomin Mu. "Optimization of UAV-Aided Millimeter-Wave IoT Systems." Electronics 10, no. 21 (October 26, 2021): 2618. http://dx.doi.org/10.3390/electronics10212618.

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Due to their maneuverability, unmanned aerial vehicles (UAVs) have grown into a promising enabler of the Internet of Things (IoTs). In addition to the benefits of the bandwidth and communication quality of millimeter-wave (mmWave) systems, a UAV-aided mmWave multiple-input and multiple-output (MIMO) communication system is investigated in this paper for the data collection of IoT systems, in which single-antenna IoT devices are divided into several clusters, and the UAV aided mmWave base station (UAV-BS) collects data from each cluster using the time division scheme. The joint optimization of the beam selection, UAV trajectory, user clustering, power allocation and transmission duration is studied in this paper to improve the data collection efficiency. The solution of the problem is then given in three steps. Firstly, the incremental K-means clustering and ant colony optimization algorithm are utilized to handle the UAV trajectory planning and user clustering problem. Secondly, an incremental beam selection scheme is employed to ensure that all the devices in each cluster can communicate with the UAV. Thirdly, an iterative algorithm is proposed by alternately optimizing the power allocation and transmission duration of the IoT devices. Finally, the simulation results demonstrate the effectiveness of the proposed solution for the UAV-aided mmWave communication system.
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Mayor, Vicente, Rafael Estepa, Antonio Estepa, and German Madinabeitia. "Deploying a Reliable UAV-Aided Communication Service in Disaster Areas." Wireless Communications and Mobile Computing 2019 (April 8, 2019): 1–20. http://dx.doi.org/10.1155/2019/7521513.

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When telecommunication infrastructure is damaged by natural disasters, creating a network that can handle voice channels can be vital for search and rescue missions. Unmanned Aerial Vehicles (UAV) equipped with WiFi access points could be rapidly deployed to provide wireless coverage to ground users. This WiFi access network can in turn be used to provide a reliable communication service to be used in search and rescue missions. We formulate a new problem for UAVs optimal deployment which considers not only WiFi coverage but also the mac sublayer (i.e., quality of service). Our goal is to dispatch the minimum number of UAVs for provisioning a WiFi network that enables reliable VoIP communications in disaster scenarios. Among valid solutions, we choose the one that minimizes energy expenditure at the user’s WiFi interface card in order to extend ground user’s smartphone battery life as much as possible. Solutions are found using well-known heuristics such as K-means clusterization and genetic algorithms. Via numerical results, we show that the IEEE 802.11 standard revision has a decisive impact on the number of UAVs required to cover large areas, and that the user’s average energy expenditure (attributable to communications) can be reduced by limiting the maximum altitude for drones or by increasing the VoIP speech quality.
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Cao, Dongju, Wendong Yang, Hui Chen, Yang Wu, and Xuanxuan Tang. "Energy efficiency maximization for buffer-aided multi-UAV relaying communications." Journal of Systems Engineering and Electronics 33, no. 2 (April 2022): 312–21. http://dx.doi.org/10.23919/jsee.2022.000032.

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Book chapters on the topic "UAV-aided communications"

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Cao, Wei, Xiaoyi Liu, Pinggang Yu, Xiao Xu, and Jie Zhang. "Wind Aided Aerodynamic Characteristics in the Quadcopter UAV Control Modeling." In Communications in Computer and Information Science, 370–81. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-9198-1_28.

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Chen, Kun, Hong Lu, Xiangping Bryce Zhai, Congduan Li, Yunlong Zhao, and Bing Chen. "Trajectory Optimization Under Constrained UAV-Aided Wireless Communications with Ground Terminals." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 350–62. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22968-9_31.

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Kim, Jongryool, KeyongTae Kim, Soo-Hyung Lee, and JongWon Kim. "Performance Evaluation of Reliable Real-Time Data Distribution for UAV-aided Tactical Networks." In Communications in Computer and Information Science, 176–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-26010-0_21.

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Hua, Meng, Chunguo Li, and Luxi Yang. "Secrecy Energy Efficiency Maximization for UAV-Aided Communication Systems." In Intelligent Robotics and Applications, 41–51. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27538-9_4.

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Huang, Zhiyu, Zhichao Sheng, Huabo Fu, Lin Ye, Hao Wei, and Yong Fang. "Full-Duplex UAV Aided Communication in the Presence of Multiple Malicious Jammers." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 255–66. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08878-0_18.

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Denisov, Alexander, Aleksandra Shabanova, and Oleg Sivchenko. "Data Exchange Method for Wireless UAV-Aided Communication in Sensor Systems and Robotic Devices." In Lecture Notes in Computer Science, 45–54. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60337-3_5.

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"Learning-aided real-time performance optimisation of cognitive UAV-assisted disaster communication." In Real Time Convex Optimisation for 5G Networks and Beyond, 155–67. Institution of Engineering and Technology, 2021. http://dx.doi.org/10.1049/pbte087e_ch15.

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Conference papers on the topic "UAV-aided communications"

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Kakar, Jaber, Anas Chaaban, Vuk Marojevic, and Aydin Sezgin. "UAV-aided Multi-Way Communications." In 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2018. http://dx.doi.org/10.1109/pimrc.2018.8580994.

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Zhang, Kexin, and Chao Shen. "UAV Aided Integrated Sensing and Communications." In 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall). IEEE, 2021. http://dx.doi.org/10.1109/vtc2021-fall52928.2021.9625578.

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Wang, Wen, Hui Tian, Wanli Ni, and Meihui Hua. "Reconfigurable Intelligent Surface Aided Secure UAV Communications." In 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE, 2021. http://dx.doi.org/10.1109/pimrc50174.2021.9569667.

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Mestoukirdi, Mohamad, Omid Esrafilian, David Gesbert, and Qianrui Li. "UAV-Aided Multi-Community Federated Learning." In GLOBECOM 2022 - 2022 IEEE Global Communications Conference. IEEE, 2022. http://dx.doi.org/10.1109/globecom48099.2022.10001333.

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Kang, Hongyue, Wei Li, Jelena Misic, Vojislav B. Misic, and Xiaolin Chang. "Dual-UAV Aided Secure Dynamic G2U Communication." In 2022 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2022. http://dx.doi.org/10.1109/iscc55528.2022.9912939.

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Hua, Meng, A. Lee Swindlehurst, Chunguo Li, and Luxi Yang. "UAV-Aided Backscatter Networks: Joint UAV Trajectory and Protocol Design." In GLOBECOM 2019 - 2019 IEEE Global Communications Conference. IEEE, 2019. http://dx.doi.org/10.1109/globecom38437.2019.9013759.

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Esrafilian, Omid, Rajeev Gangula, and David Gesbert. "Autonomous UAV-aided Mesh Wireless Networks." In IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2020. http://dx.doi.org/10.1109/infocomwkshps50562.2020.9162753.

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Lu, Xiaozhen, Dongjin Xu, Liang Xiao, Lei Wang, and Weihua Zhuang. "Anti-Jamming Communication Game for UAV-Aided VANETs." In GLOBECOM 2017 - 2017 IEEE Global Communications Conference. IEEE, 2017. http://dx.doi.org/10.1109/glocom.2017.8253987.

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Guo, Yuan, Xiaolong Li, Homayoun Yousefi'zadeh, and Hamid Jafarkhani. "UAV-aided cross-layer routing for MANETs." In 2012 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2012. http://dx.doi.org/10.1109/wcnc.2012.6214304.

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Hu, Lingling, ZhiZhong Zhang, Bingguang Deng, and Weihai Zhou. "Channel Modeling for UAV-Aided LEO Satellite Communication." In 2021 24th International Symposium on Wireless Personal Multimedia Communications (WPMC). IEEE, 2021. http://dx.doi.org/10.1109/wpmc52694.2021.9700458.

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