Loss Estimation for Network-Connected UAV/RPAS Communications

The recent applications of Unmanned Aerial Vehicles (UAVs) and Remotely Piloted Air Systems (RPAS) often require reliable and fast two-way communications between UAVs, base stations and consumers using terrestrial cellular networks. Two crucial questions are whether existing ground networks can effe...

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Main Authors: Svitlana I. Ilnytska, Fengping Li, Andrii Grekhov, Vasyl Kondratiuk
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9149599/
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spelling doaj-dbc27950c72f40a1acb4570541061a5b2021-03-30T01:47:22ZengIEEEIEEE Access2169-35362020-01-01813770213771010.1109/ACCESS.2020.30119569149599Loss Estimation for Network-Connected UAV/RPAS CommunicationsSvitlana I. Ilnytska0https://orcid.org/0000-0003-2568-8262Fengping Li1Andrii Grekhov2Vasyl Kondratiuk3https://orcid.org/0000-0002-5690-8873Institute of Laser and Optoelectronics Intelligent Manufacturing, Wenzhou University, Wenzhou, ChinaInstitute of Laser and Optoelectronics Intelligent Manufacturing, Wenzhou University, Wenzhou, ChinaDepartment of Air Navigation Systems, National Aviation University, Kyiv, UkraineResearch Training Center “Aerospace Center,” National Aviation University, Kyiv, UkraineThe recent applications of Unmanned Aerial Vehicles (UAVs) and Remotely Piloted Air Systems (RPAS) often require reliable and fast two-way communications between UAVs, base stations and consumers using terrestrial cellular networks. Two crucial questions are whether existing ground networks can effectively interact with UAVs in three-dimensional space during intensive traffic and under what data transmission modes it is possible to provide the necessary Quality of Service (QoS). To answer this question, the UAV/RPAS communication channel model “BS-ATM-HUB-RPAS” with a ground network was designed and investigated. The dependencies of dropped packets, message Travel Time (TT) and HUB Average Utilization on the Transaction Size (TS), the link bandwidth, the Bit Error Rate (BER) and the Packet Fail Chance for different distribution laws of Time Between Transactions (TBT) were analyzed. A significant benefit has been observed in using the LogNormal TBT distribution law rather than the Const and Exponential TBT distributions for the dependencies of dropped packets versus TS, HUB Average Utilization versus TS, and HUB Average Utilization versus link bandwidth. However, for the dependency of message Travel Time on the Transaction Size, the type of TBT distribution did not play a significant role; for all distributions, with increasing transaction size, the time of their transmission via the channel was increased. The importance and usefulness of such a numerical analysis lies in the ability to set traffic parameters and observe the resulting throughput, packet loss, and number of bit errors and QoS in a channel under certain transmission modes.https://ieeexplore.ieee.org/document/9149599/Bandwidthbit error rate (BER)communication channeldata trafficdropped packetsremotely piloted air systems (RPAS)
collection DOAJ
language English
format Article
sources DOAJ
author Svitlana I. Ilnytska
Fengping Li
Andrii Grekhov
Vasyl Kondratiuk
spellingShingle Svitlana I. Ilnytska
Fengping Li
Andrii Grekhov
Vasyl Kondratiuk
Loss Estimation for Network-Connected UAV/RPAS Communications
IEEE Access
Bandwidth
bit error rate (BER)
communication channel
data traffic
dropped packets
remotely piloted air systems (RPAS)
author_facet Svitlana I. Ilnytska
Fengping Li
Andrii Grekhov
Vasyl Kondratiuk
author_sort Svitlana I. Ilnytska
title Loss Estimation for Network-Connected UAV/RPAS Communications
title_short Loss Estimation for Network-Connected UAV/RPAS Communications
title_full Loss Estimation for Network-Connected UAV/RPAS Communications
title_fullStr Loss Estimation for Network-Connected UAV/RPAS Communications
title_full_unstemmed Loss Estimation for Network-Connected UAV/RPAS Communications
title_sort loss estimation for network-connected uav/rpas communications
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description The recent applications of Unmanned Aerial Vehicles (UAVs) and Remotely Piloted Air Systems (RPAS) often require reliable and fast two-way communications between UAVs, base stations and consumers using terrestrial cellular networks. Two crucial questions are whether existing ground networks can effectively interact with UAVs in three-dimensional space during intensive traffic and under what data transmission modes it is possible to provide the necessary Quality of Service (QoS). To answer this question, the UAV/RPAS communication channel model “BS-ATM-HUB-RPAS” with a ground network was designed and investigated. The dependencies of dropped packets, message Travel Time (TT) and HUB Average Utilization on the Transaction Size (TS), the link bandwidth, the Bit Error Rate (BER) and the Packet Fail Chance for different distribution laws of Time Between Transactions (TBT) were analyzed. A significant benefit has been observed in using the LogNormal TBT distribution law rather than the Const and Exponential TBT distributions for the dependencies of dropped packets versus TS, HUB Average Utilization versus TS, and HUB Average Utilization versus link bandwidth. However, for the dependency of message Travel Time on the Transaction Size, the type of TBT distribution did not play a significant role; for all distributions, with increasing transaction size, the time of their transmission via the channel was increased. The importance and usefulness of such a numerical analysis lies in the ability to set traffic parameters and observe the resulting throughput, packet loss, and number of bit errors and QoS in a channel under certain transmission modes.
topic Bandwidth
bit error rate (BER)
communication channel
data traffic
dropped packets
remotely piloted air systems (RPAS)
url https://ieeexplore.ieee.org/document/9149599/
work_keys_str_mv AT svitlanaiilnytska lossestimationfornetworkconnecteduavrpascommunications
AT fengpingli lossestimationfornetworkconnecteduavrpascommunications
AT andriigrekhov lossestimationfornetworkconnecteduavrpascommunications
AT vasylkondratiuk lossestimationfornetworkconnecteduavrpascommunications
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