Statistical Analysis of CQI Reporting and MIMO Utilization for Downlink Scheduling in Live LTE Mobile Network

2019 ◽  
Author(s):  
Igor A. Tomic ◽  
Dorde Lukic ◽  
Milutin Davidovic ◽  
Dejan D. Drajic ◽  
Predrag Ivanis
Keyword(s):  
Statistical Analysis ◽  
Mobile Network ◽  
Downlink Scheduling

scholarly journals Statistical analysis of CQI reporting and MIMO utilization for downlink scheduling in live LTE mobile network

2020 ◽  
Vol 12 (1) ◽  
pp. 8-12
Author(s):  
Igor Tomić ◽  
Đorđe Lukić ◽  
Milutin Davidović ◽  
Dejan Drajić ◽  
Predrag Ivaniš
Keyword(s):  
Statistical Analysis ◽  
Multiple Input Multiple Output ◽  
Mobile Network ◽  
Analysis Data ◽  
Downlink Scheduling ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Mimo Downlink ◽  
The Relationship

This paper considers a Multiple Input Multiple Output (MIMO) downlink scheduling procedure in Long Term Evolution (LTE) cellular networks. In particular, the relationship between Channel Quality Indicator (CQI) and MIMO utilization in LTE Frequency Division Duplex (FDD) systems was examined using the statistical analysis. Data was collected from a mature mobile network deployed in typical frequency bands for LTE FDD used in Europe - Band 3, Band 7 and Band 20. Obtained numerical results showed a significant correlation between reported CQI value and MIMO utilization.

The statistical analysis of „Safety” feature for payment cards with contactless payment function, cash and mobile payments in Poland. Results of own research

2020 ◽  
Vol 3 (2) ◽  
pp. 51-55
Author(s):  
Artur Borcuch
Keyword(s):  
Statistical Analysis ◽  
Initial Phase ◽  
Mobile Network ◽  
Mobile Payment ◽  
Safety Feature ◽  
Developed Economies ◽  
Mobile Payments ◽  
Payment Cards ◽  
Consumer Attention ◽  
Mobile Network Operators

During the last two decades, numerous innovative mobile payment services have been introduced to both developing and developed economies. Many mobile payment applications have been launched by mobile network operators. Although the Polish market of mobile payments is in the initial phase of development, it is one of the pioneering and leading in Europe and globally. The mobile payment industry in Poland is expected to reach US$ 26,893.9 million by 2025 (Poland Mobile Wallet 2019). The main purpose of this article is an attempt to answer the following question: how does “safety” feature influence consumer attention to use: payment cards without contactless payment function, cash and mobile payments?

scholarly journals STATISTICAL ANALYSIS OF REAL TRAFFIC OF MACHINE-TO-MACHINE COMMUNICATION (M2M)

2021 ◽  
Vol 2 (446) ◽  
pp. 107-113
Author(s):  
А. D. Mukhamejanova ◽  
K. Kh. Tumanbayeva ◽  
E. M. Lechshinskaya ◽  
B. Ongar
Keyword(s):  
Statistical Analysis ◽  
Mobile Communications ◽  
Mobile Network ◽  
Research Problem ◽  
Self Similarity ◽  
Machine To Machine ◽  
Traffic Impact ◽  
Short Term Forecasting ◽  
Network Server ◽  
Real Traffic

The development of digital technology has spawned the concept of the Internet of Things (IoT). The concept basis is the machine-to-machine interaction (M2M) technology, which allows devices to exchange information. The most effective data transmission medium for M2M devices is mobile communications. Rapid growth of machine-to-machine М2М traffic in mobile communication network defines the actuality of the research problem, its features and characteristics. Research outcomes are indispensable at the network modeling, planning, analyzing the М2М traffic impact at quality of service (QoS) of mobile network communication. The article analyzes the real traffic in the LoraWan network. Aggregated traffic coming to the network server from all devices is considered. To model the М2М batch traffic, apart from specifying the statistic characteristics it is necessary to assess its self-similarity. In order to define the traffic self-similarity there has been computed Hurst parameter. On the basis of STATISTICA programs batch we have conducted statistical analysis and short-term forecasting of real М2М traffic by method of exponential smoothing.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

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