title: Hermes: A Large Language Model Framework on the Journey to Autonomous
    Networks
summary: The drive toward automating cellular network operations has grown with the
  increasing complexity of these systems. Despite advancements, full autonomy
  currently remains out of reach due to reliance on human intervention for
  modeling network behaviors and defining policies to meet target requirements.
  Network Digital Twins (NDTs) have shown promise in enhancing network
  intelligence, but the successful implementation of this technology is
  constrained by use case-specific architectures, limiting its role in advancing
  network autonomy. A more capable network intelligence, or "telecommunications
  brain", is needed to enable seamless, autonomous management of cellular
  network. Large Language Models (LLMs) have emerged as potential enablers for
  this vision but face challenges in network modeling, especially in reasoning
  and handling diverse data types. To address these gaps, we introduce Hermes, a
  chain of LLM agents that uses "blueprints" for constructing NDT instances
  through structured and explainable logical steps. Hermes allows automatic,
  reliable, and accurate network modeling of diverse use cases and
  configurations, thus marking progress toward fully autonomous network
  operations.
paper_authors._id: 6733297c18caf8e87738479c
paper_authors.name: Fadhel Ayed
paper_authors._id: 6733297c18caf8e87738479d
paper_authors.name: Ali Maatouk
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-11-15T14:06:18.812Z
paper_authors._id: 66007e3c6ab19a1d21f73006
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/66007e3c6ab19a1d21f73006/dIDzP9dmi50akOckJmapy.jpeg
paper_authors.fullname: Ali Maatouk
paper_authors.type: user
paper_authors.user: AliMaatouk
paper_authors._id: 6733297c18caf8e87738479e
paper_authors.name: Nicola Piovesan
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2024-11-15T09:26:08.984Z
paper_authors._id: 650ab653cc02352e1e43e43e
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/650ab653cc02352e1e43e43e/Zl_nv3yFWhJYeu3EYKwIU.jpeg
paper_authors.fullname: Nicola Piovesan
paper_authors.type: user
paper_authors.user: nicopi
paper_authors._id: 6733297c18caf8e87738479f
paper_authors.name: Antonio De Domenico
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-11-15T14:06:24.360Z
paper_authors._id: 6711824bdbaabda3f3eded95
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/no-auth/a1idXVuNGNLEZN82wg6Kp.png
paper_authors.fullname: Antonio De Domenico
paper_authors.type: user
paper_authors.user: adedomenico
paper_authors._id: 6733297c18caf8e8773847a0
paper_authors.name: Merouane Debbah
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-11-15T14:06:31.342Z
paper_authors._id: 66d6ceebcf9564361248788d
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/66d6ceebcf9564361248788d/_lFUktiNv1wN40bp5TdxQ.jpeg
paper_authors.fullname: Merouane Debbah
paper_authors.type: user
paper_authors.user: Merouanedebbah
paper_authors._id: 6733297c18caf8e8773847a1
paper_authors.name: Zhi-Quan Luo
paper_title: Hermes: A Large Language Model Framework on the Journey to Autonomous
    Networks
paper_summary: The drive toward automating cellular network operations has grown with the
  increasing complexity of these systems. Despite advancements, full autonomy
  currently remains out of reach due to reliance on human intervention for
  modeling network behaviors and defining policies to meet target requirements.
  Network Digital Twins (NDTs) have shown promise in enhancing network
  intelligence, but the successful implementation of this technology is
  constrained by use case-specific architectures, limiting its role in advancing
  network autonomy. A more capable network intelligence, or "telecommunications
  brain", is needed to enable seamless, autonomous management of cellular
  network. Large Language Models (LLMs) have emerged as potential enablers for
  this vision but face challenges in network modeling, especially in reasoning
  and handling diverse data types. To address these gaps, we introduce Hermes, a
  chain of LLM agents that uses "blueprints" for constructing NDT instances
  through structured and explainable logical steps. Hermes allows automatic,
  reliable, and accurate network modeling of diverse use cases and
  configurations, thus marking progress toward fully autonomous network
  operations.
paper_ai_summary: Hermes, a chain of LLM agents using blueprints, facilitates automatic, reliable, and accurate network modeling through structured logical steps, advancing towards fully autonomous network operations.
paper_ai_keywords: Network Digital Twins (NDTs) Large Language Models (LLMs) network modeling logical steps