Multi-antenna relay based cyber-physical systems in smart-healthcare NTNs: an explainable AI approach

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F23%3A43907481" target="_blank" >RIV/60076658:12310/23:43907481 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s10586-022-03632-0" target="_blank" >https://link.springer.com/article/10.1007/s10586-022-03632-0</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10586-022-03632-0" target="_blank" >10.1007/s10586-022-03632-0</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Multi-antenna relay based cyber-physical systems in smart-healthcare NTNs: an explainable AI approach

Popis výsledku v původním jazyce

In a generic modern multi-antenna relay system, the incremental cooperative networks use the neighbor nodes to assist the source by sending the source message to the destination for achieving spatial diversity. Therefore, the involvement of cyber-physical Systems (CPS) in smart healthcare has proportionately improved in terms of the relaying schemes. These schemes are equally implicated to terrestrial and non-terrestrial networks. For any non-terrestrial-networks (NTN), the computational intelligence in terms of artificial intelligence (AI) plays a viral role, the work have introduced a novel paradigm of NTN applications using Explainable-artificial intelligence (X-AI) approach. Initially, we propose and analyze a new cooperative relaying scheme for the incremental multi-antenna relays system; namely, incremental multi-antenna relays cooperation with a hybrid relaying scheme (IMARC-H). The IMARC-H, either Amplify-and-forward (AF) or Decode-and-forward (DF) uses relaying scheme based on the X-AI approach. Mathematical formulations have been deducted to support an optimal relationship between signal-to-noise ratio (SNR) and neighbour nodes in the physical layer. The simulations are presented to showcase the validation of the work. The analysis of the obtained simulation results shows that the proposed scheme outperforms in minimizing Bit-Error-Rate (BER) and outage probability as compared to the existing CPS-based relaying schemes such as IMARC-AF, IMARC-DF, etc.

Název v anglickém jazyce

Multi-antenna relay based cyber-physical systems in smart-healthcare NTNs: an explainable AI approach

Popis výsledku anglicky

In a generic modern multi-antenna relay system, the incremental cooperative networks use the neighbor nodes to assist the source by sending the source message to the destination for achieving spatial diversity. Therefore, the involvement of cyber-physical Systems (CPS) in smart healthcare has proportionately improved in terms of the relaying schemes. These schemes are equally implicated to terrestrial and non-terrestrial networks. For any non-terrestrial-networks (NTN), the computational intelligence in terms of artificial intelligence (AI) plays a viral role, the work have introduced a novel paradigm of NTN applications using Explainable-artificial intelligence (X-AI) approach. Initially, we propose and analyze a new cooperative relaying scheme for the incremental multi-antenna relays system; namely, incremental multi-antenna relays cooperation with a hybrid relaying scheme (IMARC-H). The IMARC-H, either Amplify-and-forward (AF) or Decode-and-forward (DF) uses relaying scheme based on the X-AI approach. Mathematical formulations have been deducted to support an optimal relationship between signal-to-noise ratio (SNR) and neighbour nodes in the physical layer. The simulations are presented to showcase the validation of the work. The analysis of the obtained simulation results shows that the proposed scheme outperforms in minimizing Bit-Error-Rate (BER) and outage probability as compared to the existing CPS-based relaying schemes such as IMARC-AF, IMARC-DF, etc.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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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

2023

Kód důvěrnosti údajů

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

Název periodika

Cluster Computing-The Journal of Networks Software Tools and Applications

ISSN

1386-7857

e-ISSN

1573-7543

Svazek periodika

26

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

2259-2269

Kód UT WoS článku

000842588900003

EID výsledku v databázi Scopus

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