3 citations · 6 across the 11 of their papers we have counts for
11 papers
Large Language Models as Strategic Bidding Agents in P2P Energy Trading Markets
Ismail Lotfi, Ali Ghrayeb, Haitham Abu-Rub
Peer-to-peer (P2P) energy trading markets rely on double auction mechanisms to match prosumers and consumers in smart grid distribution networks. However, the strategic behavior of…
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…
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.…
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…
Semantic Information Marketing in The Metaverse: A Learning-Based Contract Theory Framework
Ismail Lotfi, Dusit Niyato, Sumei Sun +2
In this paper, we address the problem of designing incentive mechanisms by a virtual service provider (VSP) to hire sensing IoT devices to sell their sensing data to help creating…
On The Robustness of Channel Allocation in Joint Radar And Communication Systems: An Auction Approach
Ismail Lotfi, Hongyang Du, Dusit Niyato +2
Joint radar and communication (JRC) is a promising technique for spectrum re-utilization, which enables radar sensing and data transmission to operate on the same frequencies and t…