Smart City Gnosys
Smart city article details
| Title | Enabling The Future Smart Cities: Ai-Based Orchestration Of 5G And Beyond |
|---|---|
| ID_Doc | 23074 |
| Authors | Nencioni G.; Sarah A.; Müller A.R. |
| Year | 2025 |
| Published | A Nordic Smart Sustainable City: Lessons from Theory and Practice |
| DOI | http://dx.doi.org/10.4324/9781003498650-15 |
| Abstract | Wireless communication is perhaps the key technological enabler of a smart city. Unfortunately, as also experienced in the Stavanger area, current wireless technologies struggle to deliver infrastructure with the performance and flexibility needed to enable advanced smart city services. The fifth generation (5G) of mobile networks is a reality, but its full potential is far from accomplished. 5G together with edge computing, which consists of deploying computing platforms close to the users, will overcome some of current limitations; for example, an increment of the complexity to manage and orchestrate such integrated infrastructure, concerns about the security and dependability, and possible negative impact on the sustainability since the energy impact is unknown. In this scenario, the 5G-MODaNeI project at the University of Stavanger (UiS) investigates and proposes solutions to manage the complexity of 5G and edge computing. Models are proposed to evaluate the security and dependability of 5G and edge computing systems. Artificial intelligence is used to orchestrate the data and network resources. The developed solutions are evaluated in actual testbeds. In future smart cities, the use of the communication technology will need to evolve. The relevant stakeholders need to collaborate to ensure that the full potential of 5G is exploited and the drawbacks are avoided. © 2025 selection and editorial matter, Barbara Maria Sageidet, Daniela Müller-Eie, and Kristiane M.F. Lindland; individual chapters, the contributors. |
| Author Keywords |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
2080  | 0.922 | Wallace J.; Vukovic M.; Karimovic T.; Edwards W. | A High-Performance 5G/6G Framework For Smart Cities Supporting Multi-Level Artificial Intelligence | 2025 2nd International Conference on Advanced Innovations in Smart Cities, ICAISC 2025 (2025) |
| 49719 | 0.915 | Singh P.P.; Dixit R.K. | Smart Cities With 5G And Edge Computing In 2030 | The Role of Network Security and 5G Communication in Smart Cities and Industrial Transformation (2025) |
| 6958 | 0.895 | Pirecisejdiu N.; Rendevski N.; Ristevski B. | Ai Revolutionizing 5G And Next-Generation Networks | 2024 IEEE 17th International Scientific Conference on Informatics, INFORMATICS 2024 - Proceedings (2024) |
| 35879 | 0.892 | 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) |
| 26752 | 0.883 | Khan M.A. | Fog Computing In 5G Enabled Smart Cities: Conceptual Framework, Overview And Challenges | 5th IEEE International Smart Cities Conference, ISC2 2019 (2019) |
| 59634 | 0.88 | Mahomed A.S.; Saha A.K. | Unleashing The Potential Of 5G For Smart Cities: A Focus On Real-Time Digital Twin Integration | Smart Cities, 8, 2 (2025) |
| 224 | 0.88 | Dixit R.K.; Singh P.P. | 5G And Smart Cities: Smarter Solutions For A Hyperconnected Future | The Role of Network Security and 5G Communication in Smart Cities and Industrial Transformation (2025) |
| 34649 | 0.88 | Yang T.; Ning J.; Lan D.; Zhang J.; Yang Y.; Wang X.; Taherkordi A. | Kubeedge Wireless For Integrated Communication And Computing Services Everywhere | IEEE Wireless Communications, 29, 2 (2022) |
| 59658 | 0.879 | Adel, A | Unlocking The Future: Fostering Human-Machine Collaboration And Driving Intelligent Automation Through Industry 5.0 In Smart Cities | SMART CITIES, 6, 5 (2023) |
| 55564 | 0.879 | Zhang P.; Zhu H. | The Fusion Of Edge Computing And Artificial Intelligence In 5G Communication | ACM International Conference Proceeding Series (2024) |