Prototyping 5G Network in Laboratory Testbed with Virtual Deployment Environment

Khakimov, Abdukodir; Poluektov, Dmitry; Mokrov, Evgeny; Koucheryavy, Yevgeni; Samouylov, Konstantin

doi:10.1109/monetec49726.2020.9258142

Cited by 1 publication

(2 citation statements)

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“…In [ 22 ], the authors presented the possibility of emulating a wireless network using SDR or commercial radio devices in conjunction with a PC. We described a similar approach in [ 23 ] to possibly emulate signal propagation channels, potentially making changes to the signal propagation environment. This method allows an experiment to be carried out autonomously and cost-effectively, as well as its validation, before carrying out a trial using real equipment.…”

Section: Related Workmentioning

confidence: 99%

“…The papers presenting experimental field trials are few in number and mostly focus on an emulation platform overview to showcase the platform’s capabilities. The current work is a continuation of [ 23 ], where the basis for the used emulation platform was to build and upgrade said emulator to analyze the QoE impact in terms of throughput in a UAV-assisted cell enhancement scenario.…”

Section: Related Workmentioning

confidence: 99%

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Evaluating the Quality of Experience Performance Metric for UAV-Based Networks

Khakimov

Mokrov

Poluektov

et al. 2021

Sensors

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In this work, we consider a UAV-assisted cell in a single user scenario. We consider the Quality of Experience (QoE) performance metric calculating it as a function of the packet loss ratio. In order to acquire this metric, a radio-channel emulation system was developed and tested under different conditions. The system consists of two independent blocks, separately emulating connections between the User Equipment (UE) and unmanned aerial vehicle (UAV) and between the UAV and Base station (BS). In order to estimate scenario usage constraints, an analytical model was developed. The results show that, in the described scenario, cell coverage can be enhanced with minimal impact on QoE.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%