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...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/146720 |
| _version_ | 1811692920839864320 |
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| author | Tan, Ernest Zheng Hui Madhukumar, A.S. Sirigina, Rajendra Prasad Krishna, Anoop Kumar |
| 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 |
| author_sort | Tan, Ernest Zheng Hui |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T06:43:27Z |
| format | Conference Paper |
| id | ntu-10356/146720 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:43:27Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | ntu-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 |
| 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 |
| title | 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_short | Mitigating cellular interference in uplink UAV communications |
| title_sort | mitigating cellular interference in uplink uav communications |
| topic | Engineering::Computer science and engineering Unmanned Aerial Vehicle Bit Error Rate |
| url | https://hdl.handle.net/10356/146720 |
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