Impact of cellular interference on uplink UAV communications

The impact of cellular interference on uplink unmanned aerial vehicle (UAV) communications is analyzed in this paper for a multi-UAV network. Specifically, the outage probability and finite signal-to-noise ratio (SNR) diversity gain of the multi-UAV network is characterized in the presence of interf...

Full description

Saved in:
Bibliographic Details
Main Authors: Tan, Ernest Zheng Hui, Madhukumar, A. S., Sirigina, Rajendra Prasad, Krishna, Anoop Kumar
Other Authors: School of Computer Science and Engineering
Format: Conference or Workshop Item
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/144699
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-144699
record_format dspace
spelling sg-ntu-dr.10356-1446992020-11-25T08:40:39Z Impact of cellular interference on uplink UAV communications Tan, Ernest Zheng Hui Madhukumar, A. S. Sirigina, Rajendra Prasad Krishna, Anoop Kumar School of Computer Science and Engineering 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) Engineering::Computer science and engineering Unmanned Aerial Vehicle Finite Signal-to-noise Ratio The impact of cellular interference on uplink unmanned aerial vehicle (UAV) communications is analyzed in this paper for a multi-UAV network. Specifically, the outage probability and finite signal-to-noise ratio (SNR) diversity gain of the multi-UAV network is characterized in the presence of interference from uplink UAVs and cellular base stations. We demonstrate that the operational altitude of the multi-UAV network determines the severity of cellular interference across low-to-high transmit power regimes. In particular, UAVs operating at higher altitudes are less affected by cellular interference, with higher finite SNR diversity gains and lower outage probability floors observed. Thus, interference mitigation techniques may have to be considered when multi-UAV networks are operating at low altitudes in areas with cellular networks. Ministry of Education (MOE) Accepted version This research is supported by the Singapore Ministry of Education Academic Research Fund Tier 1 grants. 2020-11-19T05:45:27Z 2020-11-19T05:45:27Z 2020 Conference Paper Tan, E. Z. H., Madhukumar, A. S., Sirigina, R. P. & Krishna, A. K. (2020). Impact of cellular interference on uplink UAV communications. Proceedings of 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring). doi:10.1109/VTC2020-Spring48590.2020.9128682 978-1-7281-5207-3 https://hdl.handle.net/10356/144699 10.1109/VTC2020-Spring48590.2020.9128682 en MOE AcRF Tier 1 © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/VTC2020-Spring48590.2020.9128682 application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
Unmanned Aerial Vehicle
Finite Signal-to-noise Ratio
spellingShingle Engineering::Computer science and engineering
Unmanned Aerial Vehicle
Finite Signal-to-noise Ratio
Tan, Ernest Zheng Hui
Madhukumar, A. S.
Sirigina, Rajendra Prasad
Krishna, Anoop Kumar
Impact of cellular interference on uplink UAV communications
description The impact of cellular interference on uplink unmanned aerial vehicle (UAV) communications is analyzed in this paper for a multi-UAV network. Specifically, the outage probability and finite signal-to-noise ratio (SNR) diversity gain of the multi-UAV network is characterized in the presence of interference from uplink UAVs and cellular base stations. We demonstrate that the operational altitude of the multi-UAV network determines the severity of cellular interference across low-to-high transmit power regimes. In particular, UAVs operating at higher altitudes are less affected by cellular interference, with higher finite SNR diversity gains and lower outage probability floors observed. Thus, interference mitigation techniques may have to be considered when multi-UAV networks are operating at low altitudes in areas with cellular networks.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Tan, Ernest Zheng Hui
Madhukumar, A. S.
Sirigina, Rajendra Prasad
Krishna, Anoop Kumar
format Conference or Workshop Item
author Tan, Ernest Zheng Hui
Madhukumar, A. S.
Sirigina, Rajendra Prasad
Krishna, Anoop Kumar
author_sort Tan, Ernest Zheng Hui
title Impact of cellular interference on uplink UAV communications
title_short Impact of cellular interference on uplink UAV communications
title_full Impact of cellular interference on uplink UAV communications
title_fullStr Impact of cellular interference on uplink UAV communications
title_full_unstemmed Impact of cellular interference on uplink UAV communications
title_sort impact of cellular interference on uplink uav communications
publishDate 2020
url https://hdl.handle.net/10356/144699
_version_ 1688665678789214208