11 papers
TelcoAgent: A Scalable 5G Multi-KPM Forecasting With 3GPP-Grounded Explainability
Geon Kim, Dara Ron, Sukhdeep Singh +5
Key Performance Measurement (KPM) forecasting is essential for proactive network management of 5G and next-generation telecom networks. However, existing machine learning (ML) appr…
TeleSWEBench: A Commit-Driven Benchmark for Evaluating LLM-Powered Software Engineering in Telecommunications
Pranshav Gajjar, Ali Mamaghani, Dinesh Bharadia +1
With the telecommunications field embracing zero touch management alongside novel O-RAN and AI-RAN frameworks, contemporary telecom networks now function as immensely intricate and…
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…
TeleResilienceBench: Quantifying Resilience for LLM Reasoning in Telecommunications
Pranshav Gajjar, Emmanuel Ojo, Vijay K Shah
Deploying large language models in telecommunications requires more than task accuracy. In realistic workflows, a model may inherit partially completed reasoning from a prior step,…
TeleEmbedBench: A Multi-Corpus Embedding Benchmark for RAG in Telecommunications
Pranshav Gajjar, Vijay K Shah
Large language models (LLMs) are increasingly deployed in the telecommunications domain for critical tasks, relying heavily on Retrieval-Augmented Generation (RAG) to adapt general…
LLM-AUG: Robust Wireless Data Augmentation with In-Context Learning in Large Language Models
Pranshav Gajjar, Manan Tiwari, Sayanta Seth +1
Data scarcity remains a fundamental bottleneck in applying deep learning to wireless communication problems, particularly in scenarios where collecting labeled Radio Frequency (RF)…