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RACH preamble repetition in NB-IoT network

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Jiang, Nan, Deng, Yansha, Condoluci, Massimo, Guo, Weisi, Nallanathan, Arumugam and Dohler, Mischa (2018) RACH preamble repetition in NB-IoT network. IEEE Communciations Letters, 22 (6). pp. 1244-1247. doi:10.1109/LCOMM.2018.2793274 ISSN 1089-7798.

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Official URL: http://doi.org/10.1109/LCOMM.2018.2793274

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Abstract

NarrowBand-Internet of Things (NB-IoT) is a radio access technology recently standardized by 3GPP. To provide reliable connections with extended coverage, a repetition transmission scheme is applied in both Random Access CHannel (RACH) procedure and data transmission. In this letter, we model RACH in the NB-IoT network taking into account the repeated preamble transmission and collision using stochastic geometry. We derive the exact expression of RACH success probability under time correlated interference, and validate the analysis with different repetition values via independent simulations. Numerical results have shown that the repetition scheme can efficiently improve the RACH success probability in a light traffic scenario, but only slightly improves that performance with very inefficient channel resource utilization in a heavy traffic scenario.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Long-Term Evolution (Telecommunications), Internet of things, Stochastic geometry, Data transmission systems
Journal or Publication Title: IEEE Communciations Letters
Publisher: IEEE
ISSN: 1089-7798
Official Date: June 2018
Dates:
DateEvent
June 2018Published
15 January 2018Available
7 January 2018Accepted
Volume: 22
Number: 6
Page Range: pp. 1244-1247
DOI: 10.1109/LCOMM.2018.2793274
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 15 January 2018
Date of first compliant Open Access: 13 February 2018
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
778305H2020 European Research Councilhttp://dx.doi.org/10.13039/100010663

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