Quantifying NB-IoT Performance in 5G Use-Cases With Mixture of Regular and Stochastic Traffic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU152594" target="_blank" >RIV/00216305:26220/24:PU152594 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10750346" target="_blank" >https://ieeexplore.ieee.org/document/10750346</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/JIOT.2024.3495698" target="_blank" >10.1109/JIOT.2024.3495698</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Quantifying NB-IoT Performance in 5G Use-Cases With Mixture of Regular and Stochastic Traffic

Popis výsledku v původním jazyce

The increasing demand for power distribution systems in terms of control with nearly immediate response requires deploying a new type of user equipment (UE) that demands permanent connectivity. In NB-IoT systems, the traffic generated by such UEs may constitute a large part of the overall load. In this paper, we first propose a detailed two-dimensional Markov chain model to capture the system's behavior with the mixture of conventional stochastic and regular traffic types. To provide a computationally efficient solution, we then apply the state aggregation technique to reduce it to a one-dimensional model and develop approximations and associated numerical algorithms for assessing the mean delay when transmitting the considered traffic. Our results show that a single NB-IoT cell remains stable for up to 72x10^4 conventional UEs and 9x10^3 UEs demanding permanent connectivity. The presence of the latter UEs type has a linear effect on their delay, but affects conventional UEs more drastically. A delay bound of 10s specified in ITU-R M.2410 is met for the conventional UEs, even under a high number of permanently connected UEs 10^3. However, the delay on the side of the latter UEs is violated even for 100 permanently connected UEs requiring redesigning the NB-IoT channel access mechanism or expanding resources.

Název v anglickém jazyce

Quantifying NB-IoT Performance in 5G Use-Cases With Mixture of Regular and Stochastic Traffic

Popis výsledku anglicky

The increasing demand for power distribution systems in terms of control with nearly immediate response requires deploying a new type of user equipment (UE) that demands permanent connectivity. In NB-IoT systems, the traffic generated by such UEs may constitute a large part of the overall load. In this paper, we first propose a detailed two-dimensional Markov chain model to capture the system's behavior with the mixture of conventional stochastic and regular traffic types. To provide a computationally efficient solution, we then apply the state aggregation technique to reduce it to a one-dimensional model and develop approximations and associated numerical algorithms for assessing the mean delay when transmitting the considered traffic. Our results show that a single NB-IoT cell remains stable for up to 72x10^4 conventional UEs and 9x10^3 UEs demanding permanent connectivity. The presence of the latter UEs type has a linear effect on their delay, but affects conventional UEs more drastically. A delay bound of 10s specified in ITU-R M.2410 is met for the conventional UEs, even under a high number of permanently connected UEs 10^3. However, the delay on the side of the latter UEs is violated even for 100 permanently connected UEs requiring redesigning the NB-IoT channel access mechanism or expanding resources.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20203 - Telecommunications

Projekt

<a href="/cs/project/TN02000067" target="_blank" >TN02000067: Nové směry v elektronice pro průmysl 4.0 a medicínu 4.0</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

IEEE Internet of Things Journal

ISSN

2327-4662

e-ISSN

—

Svazek periodika

12

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

17

Strana od-do

7332-7347

Kód UT WoS článku

001441748300001

EID výsledku v databázi Scopus

2-s2.0-85210378409