Agentic-RAN/CITATION.cff at main · senthilv83/Agentic-RAN · GitHub

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cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Vijayakumar"
  given-names: "Senthilkumar"
  orcid: "https://orcid.org/0009-0009-6436-9003"
  email: "senthilkumar.vb@gmail.com"
  affiliation: "IEEE Senior Member"
title: "Agentic AI for 3GPP-Compliant Adaptive Resource Allocation in 5G NR Satellite Networks"
version: 1.0.0
date-released: 2026-04-04
url: "https://github.com/senthilv83/Agentic-RAN"
keywords:
  - 5G NR
  - Satellite Networks
  - Agentic AI
  - 3GPP TS 23.501
  - Resource Allocation
  - LangChain
  - Machine Learning
abstract: "An Agentic AI-driven framework for real-time, edge-level adaptive resource allocation in 5G NR Satellite Networks. This framework utilizes a multi-stage reasoning architecture powered by Machine Learning (Random Forest, K-Means) and Large Language Models (LLMs) via LangChain to provide explainable, policy-compliant resource allocation strategies."