On the Accurate Performance Evaluation of the LTE-A Random Access Procedure

Israel Leyva-Mayorga, Luis Tello-Oquendo, Vicent Pla, Jorge Martinez-Bauset, Vicente Casares-Giner

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

The performance evaluation of the random access (RA) procedure in LTE-A has recently become a major research topic as these networks are expected to play a significant role in upcoming 5G networks. Up to now, the key performance indicators (KPIs) of the RA in LTE-A have been obtained either by performing a large number of simulations or by means of analytic models that sacrifice precision in exchange of simplicity. In this paper, we present an analytic model for the performance evaluation of the LTE-A RA procedure. Using this analytic model, each and every one of the KPIs suggested by the 3GPP can be obtained with a minimal error when compared to the results obtained by simulation. To the best of our knowledge, this is the most accurate analytic model of the LTE-A RA procedure.

Original languageEnglish
Title of host publication2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
Number of pages7
PublisherIEEE
Publication date1 Jul 2017
Pages1-7
ISBN (Electronic)9781509050192
DOIs
Publication statusPublished - 1 Jul 2017
Externally publishedYes
Event2017 IEEE Global Communications Conference, GLOBECOM 2017 - Singapore, Singapore
Duration: 4 Dec 20178 Dec 2017

Conference

Conference2017 IEEE Global Communications Conference, GLOBECOM 2017
Country/TerritorySingapore
CitySingapore
Period04/12/201708/12/2017
Series2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings
Volume2018-January

Keywords

  • Analytic model
  • LTE-A
  • performance evaluation
  • random access (RA)

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