Sun, Jingcong;
(2019)
Energy aware network optimization with aerial base stations.
Masters thesis (M.Phil), UCL (University College London).
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Abstract
To meet the fast-growing and highly diversified traffic demand, it is envisioned that unmanned aerial vehicles (UAVs), also known as drones, will become an indispensable part in the future communication system. Since UAVs are flexible, cost-effective, fast to deploy and have a better communication condition compared to terrestrial communication system, the use of drones is promising in a wide range of wireless networking applications. By moving closer to the targets, UAVs can act as data collectors to prolong the lifetime of wireless sensor networks (WSNs) or be used as energy transmitters to transfer more energy in wireless power transfer (WPT) scenarios. In particular, UAV based aerial base stations (BSs) have the ability to provide rapid and reliable wireless services wherever and whenever there is an excessive data demand and has become increasingly appealing to network service providers. In this thesis, we focus on UAVs serving as BSs to provide wireless services to ground users from the sky. Firstly, we consider the power-efficient deployment of multiple static aerial BSs, with the aim of covering a maximum number of ground users while avoiding inter-cell interference (ICI). The proposed techniques achieve an up to 30% higher coverage probability than the benchmark circle packing theory (CPT) when users are not distributed uniformly. In addition, the proposed iterative algorithm also greatly improves the power-efficiency by up to 15%. Secondly, by fully exploiting the mobility of UAVs, we study the trajectory and UAV-user scheduling and association of moving aerial BSs. The bottom line aim of UAV application, where an aerial BS is dispatched to satisfy the data demand of a maximum number of ground users with a given energy budget is considered. It is found that the moving aerial BS tends to move close to the targeted ground users to reduce path loss and enjoy a good communication condition. Simulation results show both energy and coverage performance gains for the proposed schemes compared to the benchmark techniques
| Type: | Thesis (Masters) |
|---|---|
| Qualification: | M.Phil |
| Title: | Energy aware network optimization with aerial base stations |
| Event: | UCL (University College London) |
| Open access status: | An open access version is available from UCL Discovery |
| Language: | English |
| Additional information: | Copyright © The Author 2019. Original content in this thesis is licensed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) Licence (https://creativecommons.org/licenses/by/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. |
| UCL classification: | UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science 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/10075255 |
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