Performance Comparison of IBN orchestration using LLM and SLMs
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
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2026
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| _version_ | 1866908870728744960 |
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| author | Phone, Wai Lwin Boudani, Brahim El Dagiuklas, Tasos Ghosh, Saptarshi |
| author_facet | Phone, Wai Lwin Boudani, Brahim El Dagiuklas, Tasos Ghosh, Saptarshi |
| contents | The evolution of both 5G and 6G networks is driving the advancement of fully autonomous network management, placing Intent-Based Networking at the centre of this transformation. This paper introduces a novel framework for 5G and 6G IBN orchestration that leverages a stateful, hierarchical multi-agent architecture to achieve full automation using both SLMs and LLMs. Both models have been evaluated for translation accuracy using metrics such as BLEU, METEOR, and ROUGE-L, as well as computational complexity. Experimental results show that both models exhibit similar accuracy. However, result shows that SLMs can improve the overall completion speed of the IBN lifecycle by 20%. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_06647 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Performance Comparison of IBN orchestration using LLM and SLMs Phone, Wai Lwin Boudani, Brahim El Dagiuklas, Tasos Ghosh, Saptarshi Networking and Internet Architecture Artificial Intelligence The evolution of both 5G and 6G networks is driving the advancement of fully autonomous network management, placing Intent-Based Networking at the centre of this transformation. This paper introduces a novel framework for 5G and 6G IBN orchestration that leverages a stateful, hierarchical multi-agent architecture to achieve full automation using both SLMs and LLMs. Both models have been evaluated for translation accuracy using metrics such as BLEU, METEOR, and ROUGE-L, as well as computational complexity. Experimental results show that both models exhibit similar accuracy. However, result shows that SLMs can improve the overall completion speed of the IBN lifecycle by 20%. |
| title | Performance Comparison of IBN orchestration using LLM and SLMs |
| topic | Networking and Internet Architecture Artificial Intelligence |
| url | https://arxiv.org/abs/2603.06647 |