Rpas Communication Channels Based on Wcdma 3gpp Standard

Grekhov, Andrii; Kondratiuk, Vasyl; Ilnytska, Svitlana

doi:10.3846/aviation.2020.12166

Cited by 12 publications

(12 citation statements)

References 19 publications

(19 reference statements)

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“…These data practically coincided with our previously calculated values and confirmed the realism of the results obtained for communication channel models using NetCracker software. Simulations of RPAS data transmission via satellites using MATLAB and NetCracker software were described in our papers [17][18][19][20], where satellite channel parameters based on IEEE 802.11a, 802.11 b, 802.16 and Long-Term Evolution (LTE) standards and RPAS satellite traffic characteristics were estimated.…”

Section: Introduction and Analysis Of Publicationsmentioning

confidence: 99%

Loss Estimation for Network-Connected UAV/RPAS Communications

Ilnytska

Grekhov

et al. 2020

IEEE Access

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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.

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Section: Introduction and Analysis Of Publicationsmentioning

confidence: 99%

Loss Estimation for Network-Connected UAV/RPAS Communications

Ilnytska

Grekhov

et al. 2020

IEEE Access

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“…This work is devoted to the development of theoretical methods for predicting the behavior of RPAS communication channels when integrating with cellular networks. In our previous works ([ [30][31][32][33][34] and references therein), we studied the transmission of messages using RPASs/UAVs in direct and indirect visibility, through terrestrial networks without and with the use of satellites. The research was based on the simulation of communication channels using Matlab and NetCracker software.…”

Section: Discussionmentioning

confidence: 99%

“…The research was based on the simulation of communication channels using Matlab and NetCracker software. IEEE 802.11a, 802.11b, and 802.16 [30,31] and LTE Standards [32,33] have been used in the various models. The main purpose of these studies was to obtain quantitative characteristics of RPAS communication channels and to develop methods for calculating the parameters of communication channels.…”

Section: Discussionmentioning

confidence: 99%

“…RPAS communication channels based on IEEE 802.11a, 802.11b, and 802.16 and LTE standards are modeled in our works [30][31][32][33][34].…”

Section: Related Workmentioning

confidence: 99%

“…In our previous works [32,33] models of communication channels "Base Station-to-RPAS" and "Base Station-to-Satellite-to-RPAS" were built on the basis of 3GPP Wideband Code Division Multiple Access (WCDMA) Standard. Using the MATLAB software, quantitative characteristics of the channels were obtained taking into account the Multipath Rayleigh Fading, the nonlinearity of the satellite transponder, various antenna diameters, and RPAS speeds.…”

Section: Modelsmentioning

confidence: 99%

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Data Traffic Modeling in RPAS/UAV Networks with Different Architectures

2021

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Deploying of Fifth Generation and Beyond Fifth Generation (5G/B5G) wireless networks will require wider coverage, flexible connectivity, low latency, support for a large number of user devices, and more bandwidth. This article explores the paradigm that Remotely Piloted Air Systems (RPASs) or Unmanned Aerial Vehicles (UAVs) are integrated as a communication platform with cellular networks using radio access. It is important to know the possibilities and ways of such integration for effective interaction with RPASs. This paper studies the issues of ensuring the required Quality of Service (QoS) during heavy traffic and the choice of necessary data transmission modes for this. Models of RPAS communication channels with different architectures were created. The relationships between models’ performance and traffic parameters were obtained using the NetCracker Professional 4.1 software. The dependencies of the Average Utilization (AU) on the Transaction Size (TS) were analyzed. The effects of different bandwidths and the Bit Error Rate (BER) were studied. The traffic characteristics in all models were compared.

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Modeling of UAV/RPAS data traffic in space, air, and ground networks

Ilnytska

Grekhov

Kondratiuk

2021

Journal of Field Robotics

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Remotely piloted air systems (RPASs) are increasingly used for data transmission in the space‐air‐ground integrated networks (SAGINs). That is why it is important to know the possibilities and ways of integrating existing space, air and terrestrial networks for effective interaction with RPASs. This paper studies the issues of ensuring the required quality of service during heavy traffic in SAGIN and the choice of the necessary data transmission modes for this. Models of communication channels were created, including line‐of‐sight transmission (Model 1), public terrestrial network (PTN) (Model 2), low‐orbit satellite transmission (Model 3) and PTN plus satellite transmission (Model 4). The relationships between models' performance and traffic parameters, channel bandwidths, bit errors, lost packets and models' topology were investigated using NetCracker Professional 4.1 software. The dependencies of the average utilization on the transaction size and the time between transactions with different statistical distribution laws were analyzed. The effect of different bandwidths was investigated. The influence of the bit error rate and the probability of packet fail chance on the channel performance was studied. The traffic characteristics in all models were compared.

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Rpas Communication Channels Based on Wcdma 3gpp Standard

Cited by 12 publications

References 19 publications

Loss Estimation for Network-Connected UAV/RPAS Communications

Loss Estimation for Network-Connected UAV/RPAS Communications

Data Traffic Modeling in RPAS/UAV Networks with Different Architectures

Modeling of UAV/RPAS data traffic in space, air, and ground networks

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