Performance Analysis of User Pairing for Active RIS-Enabled Cooperative NOMA in 6G Cognitive Radio Networks
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10256061" target="_blank" >RIV/61989100:27240/24:10256061 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/61989100:27740/24:10256061
Výsledek na webu
<a href="https://ieeexplore.ieee.org/document/10623706" target="_blank" >https://ieeexplore.ieee.org/document/10623706</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/JIOT.2024.3439377" target="_blank" >10.1109/JIOT.2024.3439377</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Performance Analysis of User Pairing for Active RIS-Enabled Cooperative NOMA in 6G Cognitive Radio Networks
Popis výsledku v původním jazyce
This paper investigates the combination of active reconfigurable intelligent surfaces (aRIS) with cognitive radio networks (CRn) enabled by non-orthogonal multiple access (NOMA) to enhance the capability of aRIS-based Internet of Things (IoT) systems. The proposed system model enhances overall performance and energy allocation by combining aRIS and NOMA. In this proposed system paradigm, the secondary source (SS) controls the information transmission to two secondary users (SUs) via the aRIS element. Transmission power limitations are put in place to lessen the impression that base stations are interfering with the main purpose. This paper evaluates critical system performance indicators such as outage probability (OP), achievable ergodic rate (AER), throughput, and energy efficiency (EE). Specifically, the impact of the distance between the aRIS unit and the base station on AER is explored. The examination of the correlation among SS-aRIS-Users in the presence of the Nakagami-m fading scenario is further investigated. Such discoveries offer significant perspectives for the enhancement and configuration of aRIS-NOMA frameworks in CRn, contributing to the advancement of adaptable communication infrastructures. In contrast to the traditional method that uses orthogonal multiple access (OMA), the aRIS-NOMA system proposed in CRn appears to be a promising way to improve the performance of IoT networks based on aRIS. Simulations have demonstrated significant improvements in spectral efficiency, with gains as high as 10%-20% observed. This suggests that performance has significantly improved, particularly for OP and AER. Finally, the Monte Carlo simulation confirms and strengthens these findings. IEEE
Název v anglickém jazyce
Performance Analysis of User Pairing for Active RIS-Enabled Cooperative NOMA in 6G Cognitive Radio Networks
Popis výsledku anglicky
This paper investigates the combination of active reconfigurable intelligent surfaces (aRIS) with cognitive radio networks (CRn) enabled by non-orthogonal multiple access (NOMA) to enhance the capability of aRIS-based Internet of Things (IoT) systems. The proposed system model enhances overall performance and energy allocation by combining aRIS and NOMA. In this proposed system paradigm, the secondary source (SS) controls the information transmission to two secondary users (SUs) via the aRIS element. Transmission power limitations are put in place to lessen the impression that base stations are interfering with the main purpose. This paper evaluates critical system performance indicators such as outage probability (OP), achievable ergodic rate (AER), throughput, and energy efficiency (EE). Specifically, the impact of the distance between the aRIS unit and the base station on AER is explored. The examination of the correlation among SS-aRIS-Users in the presence of the Nakagami-m fading scenario is further investigated. Such discoveries offer significant perspectives for the enhancement and configuration of aRIS-NOMA frameworks in CRn, contributing to the advancement of adaptable communication infrastructures. In contrast to the traditional method that uses orthogonal multiple access (OMA), the aRIS-NOMA system proposed in CRn appears to be a promising way to improve the performance of IoT networks based on aRIS. Simulations have demonstrated significant improvements in spectral efficiency, with gains as high as 10%-20% observed. This suggests that performance has significantly improved, particularly for OP and AER. Finally, the Monte Carlo simulation confirms and strengthens these findings. IEEE
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20203 - Telecommunications
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
IEEE Internet of Things Journal
ISSN
2327-4662
e-ISSN
—
Svazek periodika
11
Číslo periodika v rámci svazku
23
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
18
Strana od-do
37675-37692
Kód UT WoS článku
001360494400041
EID výsledku v databázi Scopus
—