Resumen

SANTANDER, Daniel; CICENIA-CARDENAS, Karin; ASTUDILLO-SALINAS, Fabián  y  ARANDA, Juan. Impact of backoff time on cellular IoT performance in massive communication environments. Novasinergia [online]. 2022, vol.5, n.1, pp.17-30.  Epub 31-Ene-2022. ISSN 2631-2654.  https://doi.org/10.37135/ns.01.09.02.

This article evaluates the impact of backoff time through the Backoff Indicator’s (BI) configuration on the random-access channel (RACH) under different massive traffic scenarios considering network performance metrics such as the probability of successful access, the delay in access, and the average number of preamble transmissions. A discrete-event simulation model of the contention-based random-access procedure was developed using MATLAB software. Based on the results, an optimal range of BI values ​​was characterized for each scenario through different reliability conditions. It was observed that with a suitable configuration of the RACH parameters, the performance of the system network could reach a successful access probability more significant than 85% with a moderate increase in the access delay. It was concluded that dynamic modification of the backoff time could alleviate channel congestion in delay-tolerant applications with massive traffic.

Palabras clave : Backoff time; cellular IoT networks; machine-type communications; performance metrics; random access channel.

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