An Improved Capacity Model based on Radio Measurements for a 4G and beyond Wireless Network

Diogo Parracho, David Duarte, Iola Pinto, Pedro Vieira

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

The mobile networks utilization is increasingly high, which implies a efficient resource network management coupled with a realistic capacity model. The aim of this paper is to present a capacity platform for Fourth Generation (4G) mobile networks, based on real measurements. The core of the proposed method is the deployment of a Multiple Linear Regression (MLR) model, based on propagation conditions, channel quality and delays for a specific cell. Information about how to locate the resource bottleneck and the related handling suggestions are provided. This approach outputs the maximum cell throughput at the busy hour, under realistic conditions. The method was developed using real data extracted from a live mobile network.
Original languageEnglish
Title of host publication2018 21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018
PublisherIEEE Computer Society Press
Pages314-318
Number of pages5
ISBN (Electronic)978-1-5386-5757-7
ISBN (Print)978-1-5386-5758-4
DOIs
Publication statusPublished - 2 Jul 2018
Event21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018 - Chiang Rai, Thailand
Duration: 25 Nov 201828 Nov 2018

Publication series

NameInternational Symposium on Wireless Personal Multimedia Communications (WPMC)
PublisherIEEE Computer Society Press
Volume2018-November
ISSN (Print)1347-6890
ISSN (Electronic)1882-5621

Conference

Conference21st International Symposium on Wireless Personal Multimedia Communications, WPMC 2018
Country/TerritoryThailand
CityChiang Rai
Period25/11/1828/11/18

Keywords

  • Capacity
  • Cell Throughput
  • MLR
  • Wireless Networks

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