The rapid advancement of 6G communication networks presents both considerable problems and opportunities in network management,necessitating sophisticated solutions that extend beyond conventional methods.This study s...The rapid advancement of 6G communication networks presents both considerable problems and opportunities in network management,necessitating sophisticated solutions that extend beyond conventional methods.This study seeks to investigate and evaluate autonomous network management solutions designed for 6G communication networks,highlighting their technical advantages and potential implications.We examine the role of Artificial Intelligence(AI),Machine Learning(ML),and network automation in facilitating self-organization,optimization,and decision-making within critical network domains,including spectrum management,traffic load balancing,fault detection,and security and privacy.We examine the integration of edge computing and Distributed Ledger Technologies(DLT),specifically blockchain,to improve trust,transparency,and security in autonomous networks.This study provides a comprehensive understanding of the technological developments driving fully autonomous,efficient,and resilient 6G network infrastructures by methodically analyzing existing methodologies,identifying significant research gaps,and exploring potential prospects.The results offer significant insights for researchers,engineers,and industry experts involved in the development and deployment of advanced autonomous network management systems.展开更多
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(RS-2025-00559546)supported by the IITP(Institute of Information&Communications Technology Planning&Evaluation)-ITRC(Information Technology Research Center)grant funded by the Korea government(Ministry of Science and ICT)(IITP-2025-RS-2023-00259004)+1 种基金the support by the Deanship of Scientific Research through King Khalid UniversitySaudi Arabia funded by the Large Group Research Project RGP2/267/46。
文摘The rapid advancement of 6G communication networks presents both considerable problems and opportunities in network management,necessitating sophisticated solutions that extend beyond conventional methods.This study seeks to investigate and evaluate autonomous network management solutions designed for 6G communication networks,highlighting their technical advantages and potential implications.We examine the role of Artificial Intelligence(AI),Machine Learning(ML),and network automation in facilitating self-organization,optimization,and decision-making within critical network domains,including spectrum management,traffic load balancing,fault detection,and security and privacy.We examine the integration of edge computing and Distributed Ledger Technologies(DLT),specifically blockchain,to improve trust,transparency,and security in autonomous networks.This study provides a comprehensive understanding of the technological developments driving fully autonomous,efficient,and resilient 6G network infrastructures by methodically analyzing existing methodologies,identifying significant research gaps,and exploring potential prospects.The results offer significant insights for researchers,engineers,and industry experts involved in the development and deployment of advanced autonomous network management systems.
