activity
20172026
collaborators

8 papers

cs.NI2026

Intent-Driven 6G Service Orchestration: Grounded Translation, Validation, and Decomposition

Jean Martins, Leonid Mokrushin, Marin Orlic +1

Intent-based automation for 6G envisions networks steered by high-level goals rather than low-level configurations. Existing LLM-based approaches translate natural language into pl…

cs.CR2026

Dynamic Authorization for Knowledge-Base Agents in 6G

Loay Abdelrazek, Leyli Karacay, Marin Orlic

As 6G architectures transition toward decentralized Multi-Agent Systems (MAS), ensuring secure access to shared Knowledge Bases (KB) is critical. Traditional authorization models l…

cs.AI2026

TIO-SHACL: Comprehensive SHACL validation for TMF Intent Ontologies

Jean Martins, Leonid Mokrushin, Marin Orlic

Intent-based networking promises to revolutionize telecommunications network management by enabling operators to specify high-level goals rather than low-level configurations. The…

cs.CR2025

Authorization of Knowledge-base Agents in an Intent-based Management Function

Loay Abdelrazek, Leyli Karaçay, Marin Orlic

As networks move toward the next-generation 6G, Intent-based Management (IbM) systems are increasingly adopted to simplify and automate network management by translating high-level…

cs.AI2024

A Survey on the Integration of Generative AI for Critical Thinking in Mobile Networks

Athanasios Karapantelakis, Alexandros Nikou, Ajay Kattepur +5

In the near future, mobile networks are expected to broaden their services and coverage to accommodate a larger user base and diverse user needs. Thus, they will increasingly rely…

cs.AI2021

Safe RAN control: A Symbolic Reinforcement Learning Approach

Alexandros Nikou, Anusha Mujumdar, Vaishnavi Sundararajan +2

In this paper, we present a Symbolic Reinforcement Learning (SRL) based architecture for safety control of Radio Access Network (RAN) applications. In particular, we provide a pure…

cs.AI2021

Symbolic Reinforcement Learning for Safe RAN Control

Alexandros Nikou, Anusha Mujumdar, Marin Orlic +1

In this paper, we demonstrate a Symbolic Reinforcement Learning (SRL) architecture for safe control in Radio Access Network (RAN) applications. In our automated tool, a user can se…

cs.CR2017

Existential Assertions for Voting Protocols

R. Ramanujam, Vaishnavi Sundararajan, S. P. Suresh

In earlier work, we extend the Dolev-Yao model with assertions. We build on that work and add existential abstraction to the language, which allows us to translate common construct…