Suitability of ITU-R P.1546 propagation predictions for allocating LTE SDL with GE06

Kalliovaara, Juha; Ekman, Reijo; Jokela, Tero; Jakobsson, Mikko; Talmola, Pekka; Paavola, Jarkko; Huuhka, Esko; Jokisalo, Matti; Merilainen, Mikko

doi:10.1109/bmsb.2017.7986174

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…The Future of UHF Frequency Band (FUHF) project [32] continued to study spectrum sharing in ultra high frequency (UHF) TV band. The main focus was on field measurements [15] to study the feasibility of exclusive shared spectrum access through Long Term Evolution (LTE) Supplemental Downlink (SDL) concept [33,34,35,36,37]. The project also observed the regulatory and technical developments to determine the most feasible spectrum utilization methods for the UHF TV broadcasting band.…”

Section: Licensed Spectrum Sharingmentioning

confidence: 99%

Designing a Testbed Infrastructure for Experimental Validation and Trialing of 5G Vertical Applications

Kalliovaara

Ekman

Paavola

et al. 2018

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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This paper describes the design of a testbed for experimental validation and trialing of 5G vertical applications. The paper introduces the challenges that 5G aims to solve with regard to the spectrum demand and the convergence of different wireless communication services. The European-level 5G research program 5G Public Private Partnership (5G-PPP) is a coordinated European approach to secure European leadership in 5G. The 5G-PPP has developed a 5G Pan-European Trials Roadmap, which includes a comprehensive strategy for coordinated international preliminary and pre-commercial trials. The objective in designing Turku University of Applied Sciences (TUAS) testbed infrastructure in Turku, Finland, has been in building a testbed that can be used to contribute to the development, standardization and trialing of wireless communications in a diverse selection of scenarios and vertical applications. In addition, the paper describes the spectrum monitoring capabilities at TUAS facilities.

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Section: Licensed Spectrum Sharingmentioning

confidence: 99%

Designing a Testbed Infrastructure for Experimental Validation and Trialing of 5G Vertical Applications

Kalliovaara

Ekman

Paavola

et al. 2018

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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“…In 2001, through the inheritance and integration of ITU-R P.370, ITU-R P.529, ITU-R P.1146, and other models, ITU-R Study Group 3 launched the ITU-R P.1546 model (the latest version is ITU-R P.1546-5 at present), which organically integrates ITU-R P.370, ITU-R P.529, ITU-R P.1146, and other models, forming a new forecast system [15,16].…”

Section: Introductionmentioning

confidence: 99%

A Study on the Diffraction Correction Prediction of Electromagnetic Field Intensity Based on the Method of Estimating Aerial Access Network Signal

Xing²,

Wang³

et al. 2021

Wireless Communications and Mobile Computing

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Field strength is a typical indicator of air access network signals, and the prediction of field strength has important reference significance for the estimation of aerial access network signals. However, many factors affecting the field strength, such as path, terrain, sunshine, and climate, increase the computational complexity, which greatly increases the difficulty of establishing an accurate prediction system. After persistent research by researchers in recent years, the ITU-R P.1546 model has gradually become a point-to-surface forecasting method for ground services recommended by ITU for ground operations in the frequency range of 30 MHz~3000 MHz. In view of the characteristics of electromagnetic signal propagation in mountainous environment, the influence of diffraction is also considered in this paper. Based on more accurate scene information such as actual terrain, the prediction calculation of electromagnetic signal propagation in a mountainous environment is proposed by using the corrected ITU-R P.1546 model. In addition, the influence of the actual terrain is taken into account to correct the relevant parameters, and the predicted results are compared with the measured data. The results indicate that field strength prediction results of the ITU-R P.1546 model based on the diffraction effect correction proposed in this paper in specific physical areas have better performance than those of the traditional ITU-R P.1546 model. Among them, the determination coefficient between the measured data and the predicted results is 0.87, the average error is 5.097 dBμV/m, and the root mean square error is 6.6228 dBμV/m, which proves that the ITU-R P.1546 model based on the corrected model is effective in the prediction of electromagnetic field intensity in the actual mountainous environment.

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Suitability of ITU-R P.1546 propagation predictions for allocating LTE SDL with GE06

Cited by 2 publications

References 9 publications

Designing a Testbed Infrastructure for Experimental Validation and Trialing of 5G Vertical Applications

Designing a Testbed Infrastructure for Experimental Validation and Trialing of 5G Vertical Applications

A Study on the Diffraction Correction Prediction of Electromagnetic Field Intensity Based on the Method of Estimating Aerial Access Network Signal

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