Evaluation of data sets for mobile radio signal coverage up to 150 meters above ground

2020 ◽  
Author(s):  
Klaus Kainrath ◽  
Jakob Feiner ◽  
Wilhelm Zugaj ◽  
Erich Leitgeb ◽  
Holger Fluehr ◽  
...  
Keyword(s):  
Radio Signal ◽  
Mobile Radio ◽  
Data Sets ◽  
Signal Coverage ◽  
Evaluation Of Data

A Method for the Generation of Radio Signal Coverage Maps for Dense Networks

2018 ◽  
Author(s):  
Georgios P. Koudouridis ◽  
Christer Qvarfordt
Keyword(s):  
Radio Signal ◽  
Dense Networks ◽  
Signal Coverage

On predicted R factors for dynamic structure crystallography

2018 ◽  
Vol 233 (9-10) ◽  
pp. 689-694 ◽  
Author(s):  
Julian Henn
Keyword(s):  
Dynamic Structure ◽  
Systematic Errors ◽  
Data Sets ◽  
Data Set ◽  
Evaluation Of Data ◽  
R Factors

Abstract For the evaluation of data sets from dynamic structure crystallography, it may be helpful to predict expected $R = {{{I_{ON}}} \over {{I_{OFF}}}}$ -based agreement factors from the observed intensities and their corresponding standard uncertainties with laser ON and with laser OFF. The predicted R factors serve three purposes: (i) they indicate, which data sets are suitable and promising for further evaluation, (ii) they give a reference R value for the case of absence of systematic errors in the data and (iii) they can be compared to the corresponding predicted F2-based R factors. For point (ii) it is inevitable, that the standard uncertainties from the experiment are adequate, i.e. they should adequately describe the noise in the observed intensities and must not be systematically over- or under estimated for a part of the data or the whole data set. It may be this requirement, which is currently the largest obstacle for further progress in the field of dynamic structure crystallography.

Analysis of the VHF radio signal coverage in the environment of a non-urban feeder for emergency attendance of occurrences

2018 ◽  
Author(s):  
Arnulfo Barroso de Vasconcellos ◽  
Etiane Oliveira Ponciano De Carvalho ◽  
Julia Favoretto Meyer ◽  
Saulo Roberto Sodre dos Reis ◽  
Teresa Irene Ribeiro de Carvalho Malheiro ◽  
...  
Keyword(s):  
Radio Signal ◽  
Signal Coverage

The elevation angle of mobile radio signal arrival

1973 ◽  
Vol 22 (4) ◽  
pp. 110-113 ◽  
Author(s):  
W.C.-Y. Lee ◽  
R.H. Brandt
Keyword(s):  
Radio Signal ◽  
Elevation Angle ◽  
Mobile Radio ◽  
Signal Arrival

Mobile radio signal statistics in non-urban environments

1987 ◽  
Author(s):  
J. LeBel
Keyword(s):  
Radio Signal ◽  
Urban Environments ◽  
Mobile Radio

Measurement-based Statistical Method for Estimating and Verifying Signal Coverage and Coverage Probability in Urban Microcells

2018 ◽  
Vol 8 (6) ◽  
pp. 74
Author(s):  
Joseph Isabona ◽  
Kingsley Obahiagbon
Keyword(s):  
Outage Probability ◽  
Communication Networks ◽  
Coverage Probability ◽  
Statistical Approach ◽  
Radio Signal ◽  
Signal Strength ◽  
Signal Coverage ◽  
Radio Signals ◽  
Coverage Quality

Customer’s complaints and concerns about radio signal coverage at their home are important trigger to performance relevant drive test in the relevant area to observe the coverage quality. In this paper, statistical approach has been employed to assess the quality of the radio coverage and outage probability based on measured radio signals in an established UMTS network, operational in Ikoyi, a typical urban microcell in Nigerian environment. The results shows that the quality of radio signals at the cell edge is very poor in locations 2 and 4, as they recorded poor coverage probability performance of 89.25% and 81.72% and high outage probability performance of 10.74% and 18.28% respectively. It is also observed that the smaller the fade margin, the higher the outage probability and the lower the coverage reliability. This implies that the smaller the fade margin, the smaller the received signal strength at the MS and the more likely outage events. Hence, sufficient signal strength is needed at the mobile terminals at locations 2 and 4 in order to achieve the outage probability and coverage reliability required to effectively operate cellular communication networks.

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