Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Similars in SciELO
Share
Revista Digital Novasinergia
On-line version ISSN 2631-2654
Abstract
SANTANDER, Daniel; CICENIA-CARDENAS, Karin; ASTUDILLO-SALINAS, Fabián and 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 Jan 31, 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.
Keywords : Backoff time; cellular IoT networks; machine-type communications; performance metrics; random access channel.