An Enhanced Capacity Model based on Network Measurements for a Multi-Service 3G System

Diogo Parracho, David Duarte, Iola Pinto, Pedro Vieira

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

1 Citation (Scopus)

Abstract

With the ongoing growth on mobile networks utilization, new challenges come up in order to achieve a better efficient resource network management. The purpose of this paper is to present a multi-service platform based on admission curves for Third Generation (3G) and beyond mobile networks, depending on some cell characteristics, which are calculated based on real measurements. The model considers admission curves based on the Multidimensional Erlang-B model, which defines the maximum limit of resource utilization for a given Quality of Service (QoS), and will manage traffic between several services. The proposed method takes different specific constraints for each traffic environment based on network performance. To estimate the cell characteristics, for Voice and Packet Switched (PS) Release 99 (R99) services, a method is proposed, based on the Multiple Linear Regression model and dependent on Key Performance Indicators (KPI) taken from a live mobile network. For High Speed Downlink Packet Access (HSDPA) service, a different approach is set since there is a well defined time to transmit data (Transmission Time Interval (TTI)) along with other important features, like Channel Quality Indicator (CQI) and Block Error Rate (BLER), to be considered.

Original languageEnglish
Title of host publication2019 International Conference on Computing, Networking and Communications, ICNC 2019
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages203-208
Number of pages6
ISBN (Electronic)9781538692233
DOIs
Publication statusPublished - 8 Apr 2019
Event2019 International Conference on Computing, Networking and Communications, ICNC 2019 - Honolulu, United States
Duration: 18 Feb 201921 Feb 2019

Conference

Conference2019 International Conference on Computing, Networking and Communications, ICNC 2019
Country/TerritoryUnited States
CityHonolulu
Period18/02/1921/02/19

Keywords

  • Capacity
  • Multi-service
  • Multidimensional Erlang-B
  • Wireless Networks

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