Performance Analysis and Learning-Assisted Power Control for NOMA Enabled D2D-Cellular Network

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F24%3A50021057" target="_blank" >RIV/62690094:18450/24:50021057 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10341543/" target="_blank" >https://ieeexplore.ieee.org/document/10341543/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/JSYST.2023.3331123" target="_blank" >10.1109/JSYST.2023.3331123</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Performance Analysis and Learning-Assisted Power Control for NOMA Enabled D2D-Cellular Network

Popis výsledku v původním jazyce

This work investigates a device-to-device (D2D) underlayed cellular system where both D2D and cellular networks are NOMA enabled, which is not only more spectrally efficient than the previous D2D and NOMA models but also can outperform them. Specifically, we first present closed-form expressions for system outage probability (SOP) and sum ergodic rate (SER) metrics for performance analysis and thereafter propose a deep neural network-based power control mechanism for SOP minimization. Analytical results are validated with extensive simulations that reveal the effectiveness of the proposed model over comparative schemes and the requirement of optimizing the power values in accordance with change in different system parameters.

Název v anglickém jazyce

Performance Analysis and Learning-Assisted Power Control for NOMA Enabled D2D-Cellular Network

Popis výsledku anglicky

This work investigates a device-to-device (D2D) underlayed cellular system where both D2D and cellular networks are NOMA enabled, which is not only more spectrally efficient than the previous D2D and NOMA models but also can outperform them. Specifically, we first present closed-form expressions for system outage probability (SOP) and sum ergodic rate (SER) metrics for performance analysis and thereafter propose a deep neural network-based power control mechanism for SOP minimization. Analytical results are validated with extensive simulations that reveal the effectiveness of the proposed model over comparative schemes and the requirement of optimizing the power values in accordance with change in different system parameters.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

IEEE Systems Journal

ISSN

1932-8184

e-ISSN

1937-9234

Svazek periodika

18

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

4

Strana od-do

278-281

Kód UT WoS článku

001122914600001

EID výsledku v databázi Scopus

2-s2.0-85179809893