Active Reconfigurable Repeater-Assisted NOMA Networks in Internet-of-Things: Reliability, Security, and Covertness
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F25%3A10257534" target="_blank" >RIV/61989100:27240/25:10257534 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/61989100:27740/25:10257534
Výsledek na webu
<a href="https://ieeexplore.ieee.org/document/10766410" target="_blank" >https://ieeexplore.ieee.org/document/10766410</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/JIOT.2024.3503278" target="_blank" >10.1109/JIOT.2024.3503278</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Active Reconfigurable Repeater-Assisted NOMA Networks in Internet-of-Things: Reliability, Security, and Covertness
Popis výsledku v původním jazyce
In the present paper, we describe a novel active reconfigurable repeater-aided non-orthogonal multiple access networks within the context of the Internet of Things. The study focuses on a scenario, where a source simultaneously transmits public information to an untrusted user and a covert signal to a legitimate user in the surveillance of an external warden or eavesdropper. We develop comprehensive analytical and optimization frameworks to evaluate the reliability, security, and covertness of the proposed system's performance, measuring three respective key metrics: outage probability (OP), secrecy OP (SOP), and detection error probability (DEP). First, we derive exact closed-form and asymptotic expressions for OP, SOP in internal and external eavesdropping scenarios, and DEP in external monitoring situations. Based on an asymptotic analysis of the OP, we propose two optimization methods for power allocation (PA) to achieve fairness in outage among users: a convex approximation method and an approximate closed-form solution. We then introduce an alternative method for optimizing PA to improve SOP in both eavesdropping scenarios while maintaining minimal OP requirements. In addition, we propose an effective approach for determining the warden's detection threshold to minimize the DEP, with low complexity and fast convergence, thereby improving communications covertness. Finally, we validate the theoretical and optimization frameworks through extensive Monte-Carlo simulations, exploring the impact of key system parameters on each performance metric. © 2014 IEEE.
Název v anglickém jazyce
Active Reconfigurable Repeater-Assisted NOMA Networks in Internet-of-Things: Reliability, Security, and Covertness
Popis výsledku anglicky
In the present paper, we describe a novel active reconfigurable repeater-aided non-orthogonal multiple access networks within the context of the Internet of Things. The study focuses on a scenario, where a source simultaneously transmits public information to an untrusted user and a covert signal to a legitimate user in the surveillance of an external warden or eavesdropper. We develop comprehensive analytical and optimization frameworks to evaluate the reliability, security, and covertness of the proposed system's performance, measuring three respective key metrics: outage probability (OP), secrecy OP (SOP), and detection error probability (DEP). First, we derive exact closed-form and asymptotic expressions for OP, SOP in internal and external eavesdropping scenarios, and DEP in external monitoring situations. Based on an asymptotic analysis of the OP, we propose two optimization methods for power allocation (PA) to achieve fairness in outage among users: a convex approximation method and an approximate closed-form solution. We then introduce an alternative method for optimizing PA to improve SOP in both eavesdropping scenarios while maintaining minimal OP requirements. In addition, we propose an effective approach for determining the warden's detection threshold to minimize the DEP, with low complexity and fast convergence, thereby improving communications covertness. Finally, we validate the theoretical and optimization frameworks through extensive Monte-Carlo simulations, exploring the impact of key system parameters on each performance metric. © 2014 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
2025
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
2327-4662
Svazek periodika
12
Číslo periodika v rámci svazku
7
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
14
Strana od-do
8759-8772
Kód UT WoS článku
001453366200029
EID výsledku v databázi Scopus
2-s2.0-85210921512