8 papers
Strategic Bidding in 6G Spectrum Auctions with Large Language Models
Ismail Lotfi, Ali Ghrayeb
Efficient and fair spectrum allocation is a central challenge in 6G networks, where massive connectivity and heterogeneous services continuously compete for limited radio resources…
Large Language Models as Bidding Agents in Repeated HetNet Auction
Ismail Lotfi, Ali Ghrayeb, Samson Lasaulce +1
This paper investigates the integration of large language models (LLMs) as reasoning agents in repeated spectrum auctions within heterogeneous networks (HetNets). While auction-bas…
Auction-Driven Spectrum Allocation With AutoEncoder-Based Compression in Rural Wireless Networks: A Novel Framework for Reliable Telemedicine
Nadjemat El Houda Issaad, Ismail Lotfi, Mohamed Senouci +1
Rural healthcare faces numerous challenges, including limited access to specialized medical services and diagnostic equipment, which delays patient care. Enhancing the ability to t…
Balancing Subjectivity and Objectivity in Network Selection: A Decision-Making Framework Towards Digital Twins
Brahim Mefgouda, Hanen Idoudi, Mohammad Al-Quraan +4
Selecting the optimal radio access technology (RAT) during vertical handovers (VHO) in heterogeneous wireless networks (HWNs) is critical. Multi-attribute decision-making (MADM) is…
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…
VMGuard: Reputation-Based Incentive Mechanism for Poisoning Attack Detection in Vehicular Metaverse
Ismail Lotfi, Marwa Qaraqe, Ali Ghrayeb +1
The vehicular Metaverse represents an emerging paradigm that merges vehicular communications with virtual environments, integrating real-world data to enhance in-vehicle services.…