Review of 6G Wireless Communication System With Artificial Intelligence
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F25%3A43910743" target="_blank" >RIV/60076658:12310/25:43910743 - isvavai.cz</a>
Výsledek na webu
<a href="https://onlinelibrary.wiley.com/doi/pdf/10.1002/itl2.70127?getft_integrator=clarivate&utm_source=clarivate" target="_blank" >https://onlinelibrary.wiley.com/doi/pdf/10.1002/itl2.70127?getft_integrator=clarivate&utm_source=clarivate</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/itl2.70127" target="_blank" >10.1002/itl2.70127</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Review of 6G Wireless Communication System With Artificial Intelligence
Popis výsledku v původním jazyce
Wireless communication has been in high demand over the last decades. Soon, the globe will be equipped with fifth-generation (5G) communications, which provide an incredible number of additional capabilities compared to fourth-generation communications. An innovative paradigm has evolved with the combination of artificial intelligence (AI) with sixth-generation (6G) communication networks in response to the increasing need for intelligent communication and seamless connection. This integration enables optimum resource allocation and greater efficiency. It also enhances adaptive system performance by incorporating AI across multiple network layers. The next generation of wireless networks must address many fundamental issues, including increasing system capacity, data throughput, latency, security, and quality of service in comparison to 5G. This article provides a through review of the vision of future 6G network AI and wireless communication architecture, touching on their conceptual foundations, inherent difficulties, and potential fields for further study. Some new technologies discussed in this article include AI, terahertz communications, free-space optical networks, blockchain, quantum communications, drones, mobile free communications, integrated sensing and communication, dynamic network slicing, big data analytics, and wireless optical technology. This could all be useful in ensuring the quality of service in the 6G architecture development. Furthermore, we provide a concise overview of the AI standardization process for wireless networks, focusing on essential achievements and current initiatives. We also examine the significant obstacles that 6G's AI and communication integration encountered. Lastly, we provide an overview of prospective future studies that ideally promote advancing and improving AI and 6G communications by describing possible obstacles and possibilities.
Název v anglickém jazyce
Review of 6G Wireless Communication System With Artificial Intelligence
Popis výsledku anglicky
Wireless communication has been in high demand over the last decades. Soon, the globe will be equipped with fifth-generation (5G) communications, which provide an incredible number of additional capabilities compared to fourth-generation communications. An innovative paradigm has evolved with the combination of artificial intelligence (AI) with sixth-generation (6G) communication networks in response to the increasing need for intelligent communication and seamless connection. This integration enables optimum resource allocation and greater efficiency. It also enhances adaptive system performance by incorporating AI across multiple network layers. The next generation of wireless networks must address many fundamental issues, including increasing system capacity, data throughput, latency, security, and quality of service in comparison to 5G. This article provides a through review of the vision of future 6G network AI and wireless communication architecture, touching on their conceptual foundations, inherent difficulties, and potential fields for further study. Some new technologies discussed in this article include AI, terahertz communications, free-space optical networks, blockchain, quantum communications, drones, mobile free communications, integrated sensing and communication, dynamic network slicing, big data analytics, and wireless optical technology. This could all be useful in ensuring the quality of service in the 6G architecture development. Furthermore, we provide a concise overview of the AI standardization process for wireless networks, focusing on essential achievements and current initiatives. We also examine the significant obstacles that 6G's AI and communication integration encountered. Lastly, we provide an overview of prospective future studies that ideally promote advancing and improving AI and 6G communications by describing possible obstacles and possibilities.
Klasifikace
Druh
J<sub>imp</sub> - 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)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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
Internet Technology Letters
ISSN
—
e-ISSN
2476-1508
Svazek periodika
8
Číslo periodika v rámci svazku
6
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
6
Strana od-do
nestránkováno
Kód UT WoS článku
001576603800001
EID výsledku v databázi Scopus
2-s2.0-105016737559