5 papers
LLM-Aided A* Search in Non-Geometric Network Graphs
Nouf Alabbasi, Esraa Ghourab, Omar Alhussein
Finding the shortest path in non-geometric network graphs, where edge weights encode arbitrary metrics such as latency or monetary cost rather than spatial distance, poses a challe…
Rethinking Strategic Mechanism Design In The Age Of Large Language Models: New Directions For Communication Systems
Ismail Lotfi, Nouf Alabbasi, Omar Alhussein
This paper explores the application of large language models (LLMs) in designing strategic mechanisms -- including auctions, contracts, and games -- for specific purposes in commun…
TeleOracle: Fine-Tuned Retrieval-Augmented Generation with Long-Context Support for Network
Nouf Alabbasi, Omar Erak, Omar Alhussein +3
The telecommunications industry's rapid evolution demands intelligent systems capable of managing complex networks and adapting to emerging technologies. While large language model…
Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP Standards
Omar Erak, Nouf Alabbasi, Omar Alhussein +4
Recent studies show that large language models (LLMs) struggle with technical standards in telecommunications. We propose a fine-tuned retrieval-augmented generation (RAG) system b…
Large Language Model-Driven Curriculum Design for Mobile Networks
Omar Erak, Omar Alhussein, Shimaa Naser +3
This study introduces an innovative framework that employs large language models (LLMs) to automate the design and generation of curricula for reinforcement learning (RL). As mobil…