Abstract

TELLO-OQUENDO, Luis; RAMON VIDAL, José; PLA, Vicent  and  MARTINEZ-BAUSET, Jorge. Extended Access Barring for handling massive Machine Type Communication (mMTC) deployments. Novasinergia [online]. 2018, vol.1, n.2, pp.38-44.  Epub June 01, 2021. ISSN 2631-2654.  https://doi.org/10.37135/unach.ns.001.02.04.

Massive machine type communication (mMTC) has presented a promising moment to generate powerful and ubiquitous connections that face plenty of new challenges. Cellular networks are the potential solution owing to their extensive infrastructure deployment, reliability, security, and efficiency. In cellular-based mMTC networks, the random access channel is used to establish the connection between MTC devices and base stations (eNBs), where the scalable and efficient connectivity for a tremendous number of devices is the primary challenge. To deal with this, the Third Generation Partnership Project (3GPP) has suggested the extended access barring (EAB) as a mechanism for congestion control. The eNBs activate or deactivate EAB using a congestion coefficient. In this paper, an approach to implementing the congestion coefficient is presented so that EAB can operate thus handling congestion episodes in mMTC scenarios. Moreover, the performance of EAB is examined under different MTC traffic loads and paging cycle configurations concerning network key performance indicators (KPIs). Numerical results demonstrate the effectiveness of the proposed method to detect congestion episodes. Also, it is shown that increasing the value of the paging cycle configuration influence on the network behavior under EAB.

Keywords : Extended access barring (EAB); cellular networks; internet of things; performance analysis; random access.

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