The Power of Data: How Traffic Demand and Data Analytics Are Driving Network Evolution toward 6G Systems
The evolution of communication systems always follows data traffic evolution and further influences innovations that are unlocking new markets and services. While 5G deployment is still ongoing in various countries, data-driven considerations (extracted from forecasts at the macroscopic level, detai...
| Κύριοι συγγραφείς: | , , |
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| Μορφή: | Άρθρο |
| Γλώσσα: | English |
| Έκδοση: |
MDPI AG
2023-06-01
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| Σειρά: | Journal of Sensor and Actuator Networks |
| Θέματα: | |
| Διαθέσιμο Online: | https://www.mdpi.com/2224-2708/12/4/49 |
| _version_ | 1827729432712839168 |
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| author | Dario Sabella Davide Micheli Giovanni Nardini |
| author_facet | Dario Sabella Davide Micheli Giovanni Nardini |
| author_sort | Dario Sabella |
| collection | DOAJ |
| description | The evolution of communication systems always follows data traffic evolution and further influences innovations that are unlocking new markets and services. While 5G deployment is still ongoing in various countries, data-driven considerations (extracted from forecasts at the macroscopic level, detailed analysis of live network traffic patterns, and specific measures from terminals) can conveniently feed insights suitable for many purposes (B2B e.g., operator planning and network management; plus also B2C e.g., smarter applications and AI-aided services) in the view of future 6G systems. Moreover, technology trends from standards and research projects (such as Hexa-X) are moving with industry efforts on this evolution. This paper shows the importance of data-driven insights, by first exploring network evolution across the years from a data point of view, and then by using global traffic forecasts complemented by data traffic extractions from a live 5G operator network (statistical network counters and measures from terminals) to draw some considerations on the possible evolution toward 6G. It finally presents a concrete case study showing how data collected from the live network can be exploited to help the design of AI operations and feed QoS predictions. |
| first_indexed | 2024-03-10T23:48:47Z |
| format | Article |
| id | doaj.art-a31e78bdbbfc4387b7db051e1b01c5c8 |
| institution | Directory Open Access Journal |
| issn | 2224-2708 |
| language | English |
| last_indexed | 2024-03-10T23:48:47Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Sensor and Actuator Networks |
| spelling | doaj.art-a31e78bdbbfc4387b7db051e1b01c5c82023-11-19T01:49:46ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082023-06-011244910.3390/jsan12040049The Power of Data: How Traffic Demand and Data Analytics Are Driving Network Evolution toward 6G SystemsDario Sabella0Davide Micheli1Giovanni Nardini2Intel Corporation Italia SpA, 20094 Milan, ItalyTelecom Italia S.p.A., 00198 Roma, ItalyDepartment of Information Engineering, University of Pisa, 56122 Pisa, ItalyThe evolution of communication systems always follows data traffic evolution and further influences innovations that are unlocking new markets and services. While 5G deployment is still ongoing in various countries, data-driven considerations (extracted from forecasts at the macroscopic level, detailed analysis of live network traffic patterns, and specific measures from terminals) can conveniently feed insights suitable for many purposes (B2B e.g., operator planning and network management; plus also B2C e.g., smarter applications and AI-aided services) in the view of future 6G systems. Moreover, technology trends from standards and research projects (such as Hexa-X) are moving with industry efforts on this evolution. This paper shows the importance of data-driven insights, by first exploring network evolution across the years from a data point of view, and then by using global traffic forecasts complemented by data traffic extractions from a live 5G operator network (statistical network counters and measures from terminals) to draw some considerations on the possible evolution toward 6G. It finally presents a concrete case study showing how data collected from the live network can be exploited to help the design of AI operations and feed QoS predictions.https://www.mdpi.com/2224-2708/12/4/495G6Gdata trafficmulti-RATdata analyticsAI |
| spellingShingle | Dario Sabella Davide Micheli Giovanni Nardini The Power of Data: How Traffic Demand and Data Analytics Are Driving Network Evolution toward 6G Systems Journal of Sensor and Actuator Networks 5G 6G data traffic multi-RAT data analytics AI |
| title | The Power of Data: How Traffic Demand and Data Analytics Are Driving Network Evolution toward 6G Systems |
| title_full | The Power of Data: How Traffic Demand and Data Analytics Are Driving Network Evolution toward 6G Systems |
| title_fullStr | The Power of Data: How Traffic Demand and Data Analytics Are Driving Network Evolution toward 6G Systems |
| title_full_unstemmed | The Power of Data: How Traffic Demand and Data Analytics Are Driving Network Evolution toward 6G Systems |
| title_short | The Power of Data: How Traffic Demand and Data Analytics Are Driving Network Evolution toward 6G Systems |
| title_sort | power of data how traffic demand and data analytics are driving network evolution toward 6g systems |
| topic | 5G 6G data traffic multi-RAT data analytics AI |
| url | https://www.mdpi.com/2224-2708/12/4/49 |
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