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UAV Trajectory Design and Mobility Management Based on RF Signal Observations.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	UAV Trajectory Design and Mobility Management Based on RF Signal Observations./
作者:	Chowdhury, Md Moin Uddin.
面頁冊數:	1 online resource (171 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-05, Section: A.
Contained By:	Dissertations Abstracts International84-05A.
標題:	Algorithms. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29781207click for full text (PQDT)
ISBN:	9798352981214

UAV Trajectory Design and Mobility Management Based on RF Signal Observations.
Chowdhury, Md Moin Uddin.

UAV Trajectory Design and Mobility Management Based on RF Signal Observations. - 1 online resource (171 pages)

Source: Dissertations Abstracts International, Volume: 84-05, Section: A.

Thesis (Ph.D.)--North Carolina State University, 2022.

Includes bibliographical references

Unmanned aerial vehicles (UAVs) have emerged as a promising technology over the past decades with various commercial and civilian use cases. UAVs can be used in surveillance, precision agriculture, remote sensing, data relaying, package delivery, and disaster relief applications due to their simplicity in use, high adaptability, and the capacity to expand wireless networks. While dedicated UAV ground base stations (GBSs) can be deployed by service providers for assisting cellular networks, it may also be possible to take advantage of other UAVs that are tasked e.g. with delivery and surveillance missions for expanding the wireless coverage by using them as relays. When UAVs are connected to a cellular network, the sidelobes of legacy cellular base station antennas, which offer lower antenna gains, are used to serve the UAVs flying in the air. This poses major challenges on ensuring reliable and ubiquitous connectivity for the cellular-connected UAVs.The purpose of this research is to investigate and address some of the key underlying reasons behind the connectivity challenges faced by a UAV. We propose solutions to overcome a few of the key problems in integrating UAVs with existing wireless technologies. Specifically, we address the problems of optimizing the 3D trajectory of a cellular-connected UAV while considering backhaul constraints, ensuring reliable connectivity to the cellular-connected UAVs using an extra set of GBS antennas, speed and mobility state detection of a cellular-connected UAV for efficient mobility management (MM), and tuning GBS antenna parameters for providing acceptable connectivity to both UAVs and ground users. We also address the problem of finding the optimal trajectory of UAVs in the context of search and rescue (SAR) operations. More explicitly, the UAV in interest will sense the RF signal transmitted by a device belonging to a victim with a goal to locate the victim as soon as possible using reinforcement learning (RL) based techniques. In Chapter 1, we present the thesis organization along with a brief description of each Chapter's content. In Chapter 2, we explore the effects of three-dimensional (3D) antenna radiation pattern and backhaul constraint on optimal 3D path planning problem of a UAV, in interference prevalent downlink cellular networks. We consider a cellular-connected UAV that is tasked to travel between two locations within a fixed time and it can be used to improve the cellular connectivity of ground users by acting as a relay. Since the antenna gain of a cellular base station changes significantly with the UAV altitude, the UAV can improve the signal quality in its backhaul link by changing its height over the course of its mission. This problem is non-convex and thus, we explore the dynamic programming technique to solve it. We show that the 3D optimal paths can introduce significant network performance gains over the trajectories with fixed UAV heights.To overcome the inherent challenges pertinent to cellular-connected UAVs, in Chapter 3, we propose a new cellular architecture that employs an extra set of co-channel antennas oriented toward the sky to support UAVs on top of the existing downtilted antennas for ground user equipment (GUE).

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798352981214Subjects--Topical Terms:

536374
Algorithms.
Index Terms--Genre/Form:

542853
Electronic books.

UAV Trajectory Design and Mobility Management Based on RF Signal Observations.
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500 $a Source: Dissertations Abstracts International, Volume: 84-05, Section: A.
500 $a Advisor: Guvenc, Ismail.
502 $a Thesis (Ph.D.)--North Carolina State University, 2022.
504 $a Includes bibliographical references
520 $a Unmanned aerial vehicles (UAVs) have emerged as a promising technology over the past decades with various commercial and civilian use cases. UAVs can be used in surveillance, precision agriculture, remote sensing, data relaying, package delivery, and disaster relief applications due to their simplicity in use, high adaptability, and the capacity to expand wireless networks. While dedicated UAV ground base stations (GBSs) can be deployed by service providers for assisting cellular networks, it may also be possible to take advantage of other UAVs that are tasked e.g. with delivery and surveillance missions for expanding the wireless coverage by using them as relays. When UAVs are connected to a cellular network, the sidelobes of legacy cellular base station antennas, which offer lower antenna gains, are used to serve the UAVs flying in the air. This poses major challenges on ensuring reliable and ubiquitous connectivity for the cellular-connected UAVs.The purpose of this research is to investigate and address some of the key underlying reasons behind the connectivity challenges faced by a UAV. We propose solutions to overcome a few of the key problems in integrating UAVs with existing wireless technologies. Specifically, we address the problems of optimizing the 3D trajectory of a cellular-connected UAV while considering backhaul constraints, ensuring reliable connectivity to the cellular-connected UAVs using an extra set of GBS antennas, speed and mobility state detection of a cellular-connected UAV for efficient mobility management (MM), and tuning GBS antenna parameters for providing acceptable connectivity to both UAVs and ground users. We also address the problem of finding the optimal trajectory of UAVs in the context of search and rescue (SAR) operations. More explicitly, the UAV in interest will sense the RF signal transmitted by a device belonging to a victim with a goal to locate the victim as soon as possible using reinforcement learning (RL) based techniques. In Chapter 1, we present the thesis organization along with a brief description of each Chapter's content. In Chapter 2, we explore the effects of three-dimensional (3D) antenna radiation pattern and backhaul constraint on optimal 3D path planning problem of a UAV, in interference prevalent downlink cellular networks. We consider a cellular-connected UAV that is tasked to travel between two locations within a fixed time and it can be used to improve the cellular connectivity of ground users by acting as a relay. Since the antenna gain of a cellular base station changes significantly with the UAV altitude, the UAV can improve the signal quality in its backhaul link by changing its height over the course of its mission. This problem is non-convex and thus, we explore the dynamic programming technique to solve it. We show that the 3D optimal paths can introduce significant network performance gains over the trajectories with fixed UAV heights.To overcome the inherent challenges pertinent to cellular-connected UAVs, in Chapter 3, we propose a new cellular architecture that employs an extra set of co-channel antennas oriented toward the sky to support UAVs on top of the existing downtilted antennas for ground user equipment (GUE).
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
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773 0 $t Dissertations Abstracts International $g 84-05A.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29781207 $z click for full text (PQDT)