An Evaluation Survey of Knowledge-Based Approaches in Telecommunication Applications
The purpose of this survey study is to shed light on the importance of knowledge usage and knowledge-driven applications in telecommunication systems and businesses. To this end, we first define a classification of the different knowledge-based approaches in terms of knowledge representations and re...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-01-01
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| Series: | Telecom |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4001/5/1/6 |
| _version_ | 1797239237136875520 |
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| author | Georgios P. Koudouridis Serveh Shalmashi Reza Moosavi |
| author_facet | Georgios P. Koudouridis Serveh Shalmashi Reza Moosavi |
| author_sort | Georgios P. Koudouridis |
| collection | DOAJ |
| description | The purpose of this survey study is to shed light on the importance of knowledge usage and knowledge-driven applications in telecommunication systems and businesses. To this end, we first define a classification of the different knowledge-based approaches in terms of knowledge representations and reasoning formalisms. Further, we define a set of qualitative criteria and evaluate the different categories for their suitability and usefulness in telecommunications. From the evaluation results, we could conclude that different use cases are better served by different knowledge-based approaches. Further, we elaborate and showcase our findings on three different knowledge-based approaches and their applicability to three operational aspects of telecommunication networks. More specifically, we study the utilization of large language models in network operation and management, the automation of the network based on knowledge-graphs and intent-based networking, and the optimization of the network based on machine learning-based distributed intelligence. The article concludes with challenges, limitations, and future steps toward knowledge-driven telecommunications. |
| first_indexed | 2024-04-24T17:48:20Z |
| format | Article |
| id | doaj.art-67e984e16e394f08a8b7789b3d981503 |
| institution | Directory Open Access Journal |
| issn | 2673-4001 |
| language | English |
| last_indexed | 2024-04-24T17:48:20Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Telecom |
| spelling | doaj.art-67e984e16e394f08a8b7789b3d9815032024-03-27T14:05:53ZengMDPI AGTelecom2673-40012024-01-01519812110.3390/telecom5010006An Evaluation Survey of Knowledge-Based Approaches in Telecommunication ApplicationsGeorgios P. Koudouridis0Serveh Shalmashi1Reza Moosavi2Systems Management, Global AI Accelerator, Ericsson, 16483 Stockholm, SwedenSystems Management, Global AI Accelerator, Ericsson, 16483 Stockholm, SwedenSystems Management, Global AI Accelerator, Ericsson, 16483 Stockholm, SwedenThe purpose of this survey study is to shed light on the importance of knowledge usage and knowledge-driven applications in telecommunication systems and businesses. To this end, we first define a classification of the different knowledge-based approaches in terms of knowledge representations and reasoning formalisms. Further, we define a set of qualitative criteria and evaluate the different categories for their suitability and usefulness in telecommunications. From the evaluation results, we could conclude that different use cases are better served by different knowledge-based approaches. Further, we elaborate and showcase our findings on three different knowledge-based approaches and their applicability to three operational aspects of telecommunication networks. More specifically, we study the utilization of large language models in network operation and management, the automation of the network based on knowledge-graphs and intent-based networking, and the optimization of the network based on machine learning-based distributed intelligence. The article concludes with challenges, limitations, and future steps toward knowledge-driven telecommunications.https://www.mdpi.com/2673-4001/5/1/6network automationgenerative AIlarge language modelsknowledge-based systemsknowledge representationmachine reasoning |
| spellingShingle | Georgios P. Koudouridis Serveh Shalmashi Reza Moosavi An Evaluation Survey of Knowledge-Based Approaches in Telecommunication Applications Telecom network automation generative AI large language models knowledge-based systems knowledge representation machine reasoning |
| title | An Evaluation Survey of Knowledge-Based Approaches in Telecommunication Applications |
| title_full | An Evaluation Survey of Knowledge-Based Approaches in Telecommunication Applications |
| title_fullStr | An Evaluation Survey of Knowledge-Based Approaches in Telecommunication Applications |
| title_full_unstemmed | An Evaluation Survey of Knowledge-Based Approaches in Telecommunication Applications |
| title_short | An Evaluation Survey of Knowledge-Based Approaches in Telecommunication Applications |
| title_sort | evaluation survey of knowledge based approaches in telecommunication applications |
| topic | network automation generative AI large language models knowledge-based systems knowledge representation machine reasoning |
| url | https://www.mdpi.com/2673-4001/5/1/6 |
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