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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&apos;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&apos;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