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On the Accurate Performance Evaluation of the LTE-A Random Access Procedure and the Access Class Barring Scheme

2017; Institute of Electrical and Electronics Engineers; Volume: 16; Issue: 12 Linguagem: Inglês

10.1109/twc.2017.2753784

1558-2248

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

Advanced Wireless Communication Technologies

The performance evaluation of the random access (RA) in LTE-A has recently become a major research topic as these networks are expected to play a major role in future 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, oftentimes, sacrifice precision in exchange of simplicity.In this paper, we present an analytic model for the performance evaluation of the LTE-A RA procedure that incorporates the access class barring (ACB) scheme.By means of this model, each and every one of the key performance indicators suggested by the 3GPP can be obtained with minimal error when compared to results obtained by simulation.To the best of our knowledge, this work presents the most accurate analytic model, which can be easily adapted to incorporate modifications of network parameters and/or extensions to the LTE-A system.In addition, our model of the ACB scheme can be easily incorporated to other analytic models of similar nature without any further modifications.