UAV-assisted 5G Networks for Optimised Coverage Under Dynamic Traffic Load

Ahmad, I. , Kaur, J. , Abbas, H. T. , Abbasi, Q. H. , Zoha, A. , Imran, M. A. and Hussain, S. (2022) UAV-assisted 5G Networks for Optimised Coverage Under Dynamic Traffic Load. In: 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Denver, CO, USA, 10-15 Jul 2022, pp. 1692-1693. ISBN 9781665496582 (doi: 10.1109/AP-S/USNC-URSI47032.2022.9886848)

Abstract

Cellular communication researchers and engineers are both interested in the potential use of unmanned aerial vehicles (UAVs) as aerial base stations. In comparison to terrestrial communications or systems based on high-altitude networks, on-demand wireless systems using low-altitude UAVs can be deployed faster, can be reconfigured more easily, and will likely have better communication channels due to short-range line of sight links. The goal of this paper is to evaluate the use of UAVs in next-generation wireless networks, specifically as a flying base station. Ray-tracing simulations are used to simulate the coverage of a UAV-aided base station (UAV-BS) in a scenario with a fixed base station at the University of Glasgow, UK. The results imply that the UAV-BS will be of tremendous benefit to 5G network communication, such as capacity expansion in metropolitan regions, better coverage in rural areas, and network densification

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Zoha, Dr Ahmed and Imran, Professor Muhammad and Ahmad, Iftikhar and Hussain, Dr Sajjad and Abbas, Dr Hasan and Abbasi, Professor Qammer and Kaur, Jaspreet
• Authors: Ahmad, I., Kaur, J., Abbas, H. T., Abbasi, Q. H., Zoha, A., Imran, M. A., and Hussain, S.
• College/School: College of Science and Engineering; College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity; College of Science and Engineering > School of Engineering > Biomedical Engineering; College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• ISSN: 1947-1491
• ISBN: 9781665496582
• Copyright Holders: Copyright © 2022 IEEE
• First Published: First published in 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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