Valiulahi, Iman;
(2024)
Sustainable and Multi-Functional Networks.
Doctoral thesis (Ph.D), UCL (University College London).
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Abstract
Sustainable and multi-functional communication networks aim to develop not only environmentally sustainable networks but also capable of serving multiple purposes or functions. Unmanned aerial vehicles (UAVs) are increasingly being utilized in sustainable communication systems. Thus, in this thesis, we first focus on deploying multiple UAVs in the presence of co-channel interference to provide reliable and efficient communication operations for ground users. We propose a non-convex optimization that can maximize the minimum quality of service (QoS) of ground users while optimizing the locations of multiple UAVs and solve it using the mean-shift technique and first-order Taylor expansion. We consider resource allocation policies for energy harvesting (EH) sustainable communication systems. Initially, we study off-line policies based on full channel state information (CSI) and energy arrival information (EAI) to obtain the best performance for any feasible resource allocation policies. We propose an iterative algorithm using generalized linear fractional programming to obtain an optimal policy. Building on the off-line policies, we develop on-line policies in which only statistical CSI and EAI are available. Shifting our focus to integrated sensing and communication (ISAC) systems as multi-functional technology capable of simultaneously communicating with users and sensing targets, we develop an energy-efficient ISAC system equipped with EH tools by optimizing the beamforming vectors. The proposed systems can harvest energy from various ambient sources, such as solar panels or wind turbines. Subsequently, we study antenna selection for ISAC systems, considering it as an energy-efficient technique to reduce energy consumption at the transmitter. Additionally, we explore super-resolution ISAC receiver designs where radar parameters and communication symbols are estimated using atomic norm minimization.
| Type: | Thesis (Doctoral) |
|---|---|
| Qualification: | Ph.D |
| Title: | Sustainable and Multi-Functional Networks |
| Language: | English |
| Additional information: | 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. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10198770 |
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