Mitigating cellular interference in uplink UAV communications

In this paper, we demonstrate the necessity of robust cellular interference cancellation when co-locating uplink (UL) unmanned aerial vehicle (UAV) communications with cellular networks. Through a stochastic geometry based evaluation framework, we show through bit error rate (BER) and ergodic capaci...

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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: 2021
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Online Access:https://hdl.handle.net/10356/146720
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1467202021-03-08T07:32:05Z Mitigating cellular interference in uplink UAV communications Tan, Ernest Zheng Hui Madhukumar, A.S. Sirigina, Rajendra Prasad Krishna, Anoop Kumar School of Computer Science and Engineering 2020 IEEE 92nd Vehicular Technology Conference (VTC2020) Engineering::Computer science and engineering Unmanned Aerial Vehicle Bit Error Rate In this paper, we demonstrate the necessity of robust cellular interference cancellation when co-locating uplink (UL) unmanned aerial vehicle (UAV) communications with cellular networks. Through a stochastic geometry based evaluation framework, we show through bit error rate (BER) and ergodic capacity analysis that multi-user interference (MUI) is the main limiting factor in UL UAV communications after cellular interference cancellation. It is also observed that high altitudes and weak residual cellular interference corresponds to lower BER. In contrast, low altitudes and weak residual cellular interference results in higher ergodic capacity. Hence, advanced interference cancellation techniques should be considered to suppress the presence of strong MUI in the multi-UAV network. Economic Development Board (EDB) Accepted version This research is jointly funded by Airbus Singapore Pte Ltd and the Singapore Economic Development Board (EDB). 2021-03-08T07:32:05Z 2021-03-08T07:32:05Z 2021 Conference Paper Tan, E. Z. H., Madhukumar, A. S., Sirigina, R. P., & Krishna, A. K. (2021). Mitigating cellular interference in uplink UAV communications: Proceedings of 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall). doi:10.1109/VTC2020-Fall49728.2020.9348598 9781728194844 https://hdl.handle.net/10356/146720 10.1109/VTC2020-Fall49728.2020.9348598 2-s2.0-85101365023 Fall en © 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-Fall49728.2020.9348598. 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
Bit Error Rate
spellingShingle Engineering::Computer science and engineering
Unmanned Aerial Vehicle
Bit Error Rate
Tan, Ernest Zheng Hui
Madhukumar, A.S.
Sirigina, Rajendra Prasad
Krishna, Anoop Kumar
Mitigating cellular interference in uplink UAV communications
description In this paper, we demonstrate the necessity of robust cellular interference cancellation when co-locating uplink (UL) unmanned aerial vehicle (UAV) communications with cellular networks. Through a stochastic geometry based evaluation framework, we show through bit error rate (BER) and ergodic capacity analysis that multi-user interference (MUI) is the main limiting factor in UL UAV communications after cellular interference cancellation. It is also observed that high altitudes and weak residual cellular interference corresponds to lower BER. In contrast, low altitudes and weak residual cellular interference results in higher ergodic capacity. Hence, advanced interference cancellation techniques should be considered to suppress the presence of strong MUI in the multi-UAV network.
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 Mitigating cellular interference in uplink UAV communications
title_short Mitigating cellular interference in uplink UAV communications
title_full Mitigating cellular interference in uplink UAV communications
title_fullStr Mitigating cellular interference in uplink UAV communications
title_full_unstemmed Mitigating cellular interference in uplink UAV communications
title_sort mitigating cellular interference in uplink uav communications
publishDate 2021
url https://hdl.handle.net/10356/146720
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