eprintid: 10194934 rev_number: 11 eprint_status: archive userid: 699 dir: disk0/10/19/49/34 datestamp: 2024-10-18 09:13:15 lastmod: 2024-10-18 09:13:15 status_changed: 2024-10-18 09:13:15 type: thesis metadata_visibility: show sword_depositor: 699 creators_name: Jing, Xiaoye title: Energy-informed communication and sensing optimization for aerial networks ispublished: unpub divisions: UCL divisions: B04 divisions: F46 note: Copyright © The Author 2024. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request. abstract: In recent years, compact base stations (BSs) mounted on unmanned aerial vehicles (UAVs) have emerged to construct portable aerial networks, playing an important role in wireless networks for easing the burden of terrestrial systems and facilitating emergency applications. A key challenge of aerial networks is the limited UAV energy, since the size of UAV onboard battery is constrained. Therefore, it becomes essential to consider the propulsion energy expended during UAV operations when designing UAV networks, with a focus on improving energy efficiency in UAV related researches. In the Thesis, we firstly focus on a UAV-based aerial network with multiple communication users (CUs), where the UAV acts as the aerial BS. We research on a UAV trajectory design method under energy constraint to enhance UAV coverage performance. By jointly designing the trajectory related parameters and optimizing downlink transmissions, the energy efficiency is improved in UAV communications. Integrated sensing and communication (ISAC) is a promising technology in six-generation (6G), which designs communication and sensing (C&S) systems in a joint manner, enabling to reduce the hardware cost and improve the resource efficiency. The separate C&S systems in UAVs incur a substantial payload, resulting in the degradation of UAV energy efficiency. To improve energy efficiency in UAV networks, applying the ISAC technology in UAV scenarios is a promising solution. In the Thesis, we research on the UAV trajectory design and bandwidth allocation to jointly improve C&S performances in an ISAC-based single UAV network. A weighted optimization problem is formulated to achieve a flexible tradeoff between C&S in the network. Subsequently, we focus on an ISAC-based multi-UAV network, where UAVs are deployed to perform a virtual antenna array (VAA). We propose a UAV deployment and beamforming method in this network to improve the sensing performance while guaranteeing the communication requirement. The Thesis models optimal/sub-optimal transmissions and UAV deployment/trajectory designs versus the energy awareness. The Thesis builds upon energy optimizations and balancing together with coordinated transmissions for UAV networks. Numerical results demonstrate that the proposed UAV deployment/trajectory design methods, along with the wireless techniques, can achieve flexible energy management in self-powered aerial networks. date: 2024-07-28 date_type: published full_text_type: other thesis_class: doctoral_embargoed thesis_award: Ph.D language: eng verified: verified_manual elements_id: 2298760 lyricists_name: Jing, Xiaoye lyricists_id: XJING84 actors_name: Jing, Xiaoye actors_id: XJING84 actors_role: owner full_text_status: restricted pages: 176 institution: UCL (University College London) department: Electronic & Electrical Engineering thesis_type: Doctoral citation: Jing, Xiaoye; (2024) Energy-informed communication and sensing optimization for aerial networks. Doctoral thesis (Ph.D), UCL (University College London). document_url: https://discovery.ucl.ac.uk/id/eprint/10194934/2/Xiaoye%20Jing_PhD_Thesis_final.pdf