Performance analysis of access class barring for handling massive M2M traffic in LTE-A networks

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

40 Citations (Scopus)


The number of devices that communicate through the cellular system is expected to rise significantly over the coming years. But cellular systems, such as LTE-A, were designed to handle human-to-human traffic. Hence, they are not suitable for managing massive machine-to-machine communications. Therefore, additional congestion control methods must be developed and evaluated. Up to date, access class barring (ACB) and extended access barring (EAB) methods are the preferred solutions for reducing congestion in the access channels of the evolved NodeB. These methods are based on restricting the access of certain classes of UEs, so the system capacity is not exceeded. Due to the high complexity of the LTE-A system, evaluating its performance is not straightforward. Specifically, a large number of variables, coexistent mechanisms, and test scenarios make it difficult to identify the network parameters that enhance performance. In this paper, we analyze the ACB method in highly congested environments. For this, we evaluate the effect of ACB parameters (barring rates and barring times) by means of several key performance indicators (KPI) such as delay, energy consumption (preamble transmission attempts required) and success probability. We observed that ACB is appropriate for handling sporadic congestion intervals in LTE-A networks.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Communications (ICC)
Publication date12 Jul 2016
Article number7510814
ISBN (Electronic)9781479966646
Publication statusPublished - 12 Jul 2016
Externally publishedYes
Event2016 IEEE International Conference on Communications, ICC 2016 - Kuala Lumpur, Malaysia
Duration: 22 May 201627 May 2016


Conference2016 IEEE International Conference on Communications, ICC 2016
CityKuala Lumpur
Series2016 IEEE International Conference on Communications, ICC 2016


  • Access class barring (ACB)
  • cellular-systems
  • machine-to-machine communications
  • performance analysis


Dive into the research topics of 'Performance analysis of access class barring for handling massive M2M traffic in LTE-A networks'. Together they form a unique fingerprint.

Cite this