Outage probability minimization based power control and channel allocation in underlay D2D-NOMA for IoT networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F22%3A50019201" target="_blank" >RIV/62690094:18450/22:50019201 - isvavai.cz</a>

Výsledek na webu

<a href="https://onlinelibrary.wiley.com/doi/10.1002/ett.4568" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1002/ett.4568</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/ett.4568" target="_blank" >10.1002/ett.4568</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Outage probability minimization based power control and channel allocation in underlay D2D-NOMA for IoT networks

Popis výsledku v původním jazyce

The emergence of Internet-of-Things (IoT) aims to improve modern life by inter-connecting many smart devices, technologies, and applications. It, however, drastically increases mobile traffic and requires large wireless spectrum. Therefore, for a better spectrum utilization to support this massive connectivity along with low latency and close proximity based communication, non-orthogonal multiple access enabled underlay device-to-device (D2D-NOMA) is envisioned as a key technology for IoT deployment. Hence, in this work, we consider multiple IoT clusters communicating via underlay D2D-NOMA in an uplink cellular network, with the objective of minimizing the outage probability (OP) while allocating resources to the clusters. Specifically, for each cluster, we formulate the optimization problem of OP-based power control with fixed channel allocation (PCCA) and solve it using particle swarm optimization (PSO). Additionally, we prove the convexity of PCCA problem and obtain closed-form expressions at high SNR. Further, we propose a novel OP-aware channel allocation (OPCA) algorithm to enhance the overall D2D network outage performance. The results are numerically validated and an average performance improvement of 31% and 51% is observed over the two conventional schemes namely fixed power allocation and orthogonal multiple access enabled D2D, respectively. © 2022 John Wiley &amp; Sons, Ltd.

Název v anglickém jazyce

Outage probability minimization based power control and channel allocation in underlay D2D-NOMA for IoT networks

Popis výsledku anglicky

The emergence of Internet-of-Things (IoT) aims to improve modern life by inter-connecting many smart devices, technologies, and applications. It, however, drastically increases mobile traffic and requires large wireless spectrum. Therefore, for a better spectrum utilization to support this massive connectivity along with low latency and close proximity based communication, non-orthogonal multiple access enabled underlay device-to-device (D2D-NOMA) is envisioned as a key technology for IoT deployment. Hence, in this work, we consider multiple IoT clusters communicating via underlay D2D-NOMA in an uplink cellular network, with the objective of minimizing the outage probability (OP) while allocating resources to the clusters. Specifically, for each cluster, we formulate the optimization problem of OP-based power control with fixed channel allocation (PCCA) and solve it using particle swarm optimization (PSO). Additionally, we prove the convexity of PCCA problem and obtain closed-form expressions at high SNR. Further, we propose a novel OP-aware channel allocation (OPCA) algorithm to enhance the overall D2D network outage performance. The results are numerically validated and an average performance improvement of 31% and 51% is observed over the two conventional schemes namely fixed power allocation and orthogonal multiple access enabled D2D, respectively. © 2022 John Wiley &amp; Sons, Ltd.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20203 - Telecommunications

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Transactions on Emerging Telecommunications Technologies

ISSN

2161-3915

e-ISSN

2161-3915

Svazek periodika

33

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

15

Strana od-do

"Article Numbere: 4568"

Kód UT WoS článku

000806401800001

EID výsledku v databázi Scopus

2-s2.0-85131307616