Time-Dependent Propagation Analysis and Modeling of LPWAN Technologies

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU137835" target="_blank" >RIV/00216305:26220/20:PU137835 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/9367525" target="_blank" >https://ieeexplore.ieee.org/document/9367525</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/GCWkshps50303.2020.9367525" target="_blank" >10.1109/GCWkshps50303.2020.9367525</a>

Result language

angličtina

Original language name

Time-Dependent Propagation Analysis and Modeling of LPWAN Technologies

Original language description

The modern 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 market suffer from insufficient performance. To mitigate this, further optimization and adaptation of the LPWAN technologies to the needs of these new applications requires an in-depth understanding of the propagation environment dynamics. Motivated by that, in this paper, we thoroughly investigate time-dependent 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 (UE), RSRP is subject to drastic variations that are characterized by exponentially decaying autocorrelation function (ACF). We then demonstrate that first- and second-order statistical properties of the RSRP dynamics can be closely captured using the doubly-stochastic Markov model that retains the tractability of the conventional Markov models. The reported models are expected to serve as a building block for analytical and simulation-based system-level studies and optimization of LPWAN technologies.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20203 - Telecommunications

Project

<a href="/en/project/FV40371" target="_blank" >FV40371: New system for indoor 2D and 3D real time positioning for automation, visualization and control of work process using MEMS sensors and PDoA/AoA hybrid method</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2020 IEEE Global Communications Conference

ISBN

978-1-7281-7307-8

ISSN

—

e-ISSN

—

Number of pages

6

Pages from-to

1-6

Publisher name

Neuveden

Place of publication

neuveden

Event location

Taipei

Event date

Dec 7, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000662202100129