On Mathematical Modelling of Automated Coverage Optimization in Wireless 5G and Beyond Deployments

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU138036" target="_blank" >RIV/00216305:26220/20:PU138036 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2076-3417/10/24/8853" target="_blank" >https://www.mdpi.com/2076-3417/10/24/8853</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/app10248853" target="_blank" >10.3390/app10248853</a>

Result language

angličtina

Original language name

On Mathematical Modelling of Automated Coverage Optimization in Wireless 5G and Beyond Deployments

Original language description

The need to optimize the deployment and maintenance costs for service delivery in wireless networks is an essential task for each service provider. The goal of this paper is to optimize the number of service centres (gNodeB) to cover selected customer locations based on the given requirements. This optimization need is especially emerging in emerging 5G and beyond cellular systems that are characterized by a large number of simultaneously connected devices, which is typically difficult to handle by the existing wireless systems. Currently, the network infrastructure planning tools used in the industry include Atoll Radio Planning Tool, RadioPlanner, and others. These tools do not provide an automatic selection of a deployment position for specific gNodeB nodes in a given area with defined requirements. To design a network with those tools, a great deal of manual tasks that could be reduced by more sophisticated solutions are required. For that reason, our goal here and our main contribution of this paper are the development of new mathematical models that fit the currently emerging scenarios of wireless network deployment and maintenance. Next, we also provide the design and implementation of a verification methodology for these models through provided simulations. For the performance evaluation of the models, we utilize test datasets and discuss a case study scenario from a selected district in Central Europe.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20202 - Communication engineering and systems

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Applied Sciences - Basel

ISSN

2076-3417

e-ISSN

—

Volume of the periodical

10

Issue of the periodical within the volume

24

Country of publishing house

CH - SWITZERLAND

Number of pages

25

Pages from-to

1-25

UT code for WoS article

000602763300001

EID of the result in the Scopus database

2-s2.0-85098517648