Wang, J;
Jiang, C;
Wei, Z;
Bai, T;
Zhang, H;
Ren, Y;
(2019)
UAV Aided Network Association in Space-Air-Ground Communication Networks.
In:
(Proceedings) 2018 IEEE Global Communications Conference (GLOBECOM).
IEEE: Abu Dhabi, UAE.
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Abstract
Unmanned aerial vehicles (UAVs) cooperating with satellites and base stations (BSs) constitute a space-air-ground three-tier heterogeneous network, which is beneficial in terms of both providing the seamless coverage as well as of improving the capacity for the users. However, cross-tier interference may be inevitable among these tightly embraced heterogeneous networks. In our paper, we propose a two-stage joint hovering altitude and power control solution for the resource allocation problem. Furthermore, Lagrange dual decomposition and concave-convex procedure (CCP) method are used to solve this problem. Finally, simulation results show the effectiveness of our proposed two-stage joint optimization algorithm in terms of UAV network's total throughput.
| Type: | Proceedings paper |
|---|---|
| Title: | UAV Aided Network Association in Space-Air-Ground Communication Networks |
| Event: | 2018 IEEE Global Communications Conference (GLOBECOM) |
| ISBN-13: | 9781538647271 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/GLOCOM.2018.8647724 |
| Publisher version: | https://doi.org/10.1109/GLOCOM.2018.8647724 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL 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/10073926 |
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