Smart City Gnosys
Smart city article details
| Title | Ai Revolutionizing 5G And Next-Generation Networks |
|---|---|
| ID_Doc | 6958 |
| Authors | Pirecisejdiu N.; Rendevski N.; Ristevski B. |
| Year | 2024 |
| Published | 2024 IEEE 17th International Scientific Conference on Informatics, INFORMATICS 2024 - Proceedings |
| DOI | http://dx.doi.org/10.1109/Informatics62280.2024.10900750 |
| Abstract | The introduction of 5G and beyond (B5G) networks has transformed massively telecommunications resulting in enhanced capacity, speed, and connectivity of mobile communications. The requirements and the complexity of these networks need to be addressed by innovative approaches to effective network management and optimization. This paper analyzes the critical role of Artificial Intelligence (AI) and Machine Learning (ML) in upgrading next-generation mobile networks and provides a comprehensive analysis of how AI and ML are integrated into 5G systems, highlighting the ways these technologies improve security, edge computing, and network management. It also details the evolution of AI, from the onset in symbolic logic to modern neural networks, and its application in network optimization, including computational offloading, beamforming design, and resource management. AI-driven Self-Organizing Networks (SON) provide adaptive network management and predictive maintenance, while AI-powered edge computing deals with the real-time processing demands of applications such as autonomous vehicles and smart cities. Moreover, the paper also explores how AI improves network security by enhancing threat detection and response capabilities. It concludes by highlighting key future directions, including the integration of AI with emerging technologies such as blockchain and advancements in edge computing. The AI and 5G fusion offer a new era of connected intelligence, revolutionizing the way we interact with technology and one another. This convergence is about transforming communication and connectivity, laying the foundations for more innovative applications and more resilient network infrastructure. © 2024 IEEE. |
| Author Keywords | 5G Networks; Artificial Intelligence (AI); Edge Computing; Machine Learning (ML); Network Optimization; Network Security; Next Generation Networks |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
8402  | 0.927 | Kapile V.C.; Ingle R. | An Integrated Analysis Of Ai Networks And Wireless Communication (E-Mail) | 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry, IDICAIEI 2024 (2024) |
| 58290 | 0.922 | Yi W.; Fu Y.; Cao J.; Gan L.; Xiong L.; Li H. | Towards Seamless 6G And Ai/Ml Convergence: Architectural Enhancements And Security Challenges | IEEE Network (2025) |
| 55564 | 0.919 | Zhang P.; Zhu H. | The Fusion Of Edge Computing And Artificial Intelligence In 5G Communication | ACM International Conference Proceeding Series (2024) |
| 10567 | 0.904 | Aslam A.B.; Iqbal F.; Talpur U.; Syed Z.S.; Shaikh F.K. | Artificial Intelligence-Enabled 6G Mobile Systems | Signals and Communication Technology, Part F3315 (2024) |
| 27515 | 0.903 | Chamola V.; Shall Peelam M.; Guizani M.; Niyato D. | Future Of Connectivity: A Comprehensive Review Of Innovations And Challenges In 7G Smart Networks | IEEE Open Journal of the Communications Society, 6 (2025) |
| 35879 | 0.902 | Chaymae T.; Mhamed R.; Soumia Z. | Machine Learning And 5G Edge Computing For Intelligent Traffic Management | International Journal of Advanced Computer Science and Applications, 16, 6 (2025) |
| 56431 | 0.9 | Anh V.T.K. | The Rise Of Ai In 6G Networks: A Comprehensive Review Of Opportunities, Challenges, And Applications | International Conference on Advanced Technologies for Communications (2024) |
| 32364 | 0.898 | Thiruvasagam P.K.; Srinivasan M. | Intelligent Edge Computing For B5G Networks | AI in Wireless for Beyond 5G Networks (2024) |
| 23074 | 0.895 | Nencioni G.; Sarah A.; Müller A.R. | Enabling The Future Smart Cities: Ai-Based Orchestration Of 5G And Beyond | A Nordic Smart Sustainable City: Lessons from Theory and Practice (2025) |
| 7057 | 0.893 | Maduranga M.W.P.; Tilwari V.; Rathnayake R.M.M.R.; Sandamini C. | Ai-Enabled 6G Internet Of Things: Opportunities, Key Technologies, Challenges, And Future Directions | Telecom, 5, 3 (2024) |