4 papers · 1 filter
Agents Should Replace Narrow Predictive AI as the Orchestrator in 6G AI-RAN
Pranshav Gajjar, Vijay K Shah
This position paper argues that to achieve Level 5 autonomous 6G networks, the next generation of Artificial Intelligence in Radio Access Networks (AI-RAN) should transition away f…
Tele-LLM-Hub: Building Context-Aware Multi-Agent LLM Systems for Telecom Networks
Pranshav Gajjar, Cong Shen, Vijay K Shah
This paper introduces Tele-LLM-Hub, a user friendly low-code solution for rapid prototyping and deployment of context aware multi-agent (MA) Large Language Model (LLM) systems tail…
AI5GTest: AI-Driven Specification-Aware Automated Testing and Validation of 5G O-RAN Components
Abiodun Ganiyu, Pranshav Gajjar, Vijay K Shah
The advent of Open Radio Access Networks (O-RAN) has transformed the telecommunications industry by promoting interoperability, vendor diversity, and rapid innovation. However, its…
ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access Networks
Pranshav Gajjar, Vijay K. Shah
Large Language Models (LLMs) can revolutionize how we deploy and operate Open Radio Access Networks (O-RAN) by enhancing network analytics, anomaly detection, and code generation a…