Time-Dependent Propagation Analysis and Modeling of LPWAN Technologies

Martin Stusek, Dmitri Moltchanov, Pavel Masek, Sergey Andreev, Yevgeni Koucheryavy, Jiri Hosek

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Contemporary low-power wide area network (LPWAN) technologies have been introduced as connectivity enablers with low complexity, extended communication range, and excellent signal penetration. On the other hand, they suffer from a substantial delay and low packet-delivery guarantees. As a result, numerous novel applications entering the Internet of things (IoT) market suffer from insufficient performance. To mitigate this issue, further optimization and adaptation of the LPWAN technologies to the needs of these new applications requires an indepth understanding of the propagation environment dynamics. Motivated by that, in this paper, we thoroughly investigate timedependent statistical characteristics of the reference signal receive power (RSRP) dynamics of Narrowband IoT (NB-IoT) technology. We demonstrate that even for a stationary user equipment, RSRP is subject to drastic variations that are characterized by exponentially decaying autocorrelation function. We then demonstrate that first- A nd second-order statistical properties of the RSRP dynamics can be closely captured using a doublystochastic Markov model that retains the tractability of the conventional Markov models. The reported model is expected to serve as a building block for analytical and simulation-based system-level studies and optimization of LPWAN technologies.

Original languageEnglish
Title of host publication2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings
Number of pages7
ISBN (Electronic)9781728173078
ISBN (Print)9781728173085
Publication statusPublished - 2020
Publication typeA4 Article in conference proceedings
EventIEEE Globecom Workshops - Virtual, Taipei, Taiwan, Province of China
Duration: 7 Dec 202011 Dec 2020


ConferenceIEEE Globecom Workshops
Country/TerritoryTaiwan, Province of China
CityVirtual, Taipei


  • Markov model
  • NB-IoT
  • Propagation modeling
  • time-dependent propagation characteristics

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Software


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