9 citations · 14 across the 5 of their papers we have counts for
6 papers
A Framework for AI-Native Semantic-Based Dynamic Slicing for 6G Networks
Mayukh Roy Chowdhury, Eman Hammad, Lauri Loven +3
In the ensuing ultra-dense and diverse environment in future \ac{6G} communication networks, it will be critical to optimize network resources via mechanisms that recognize and cat…
Efficient Domain Generalization in Wireless Networks with Scarce Multi-Modal Data
Minsu Kim, Walid Saad, Doru Calin
In 6G wireless networks, multi-modal ML models can be leveraged to enable situation-aware network decisions in dynamic environments. However, trained ML models often fail to genera…
Vehicle-to-Infrastructure Collaborative Spatial Perception via Multimodal Large Language Models
Kimia Ehsani, Walid Saad
Accurate prediction of communication link quality metrics is essential for vehicle-to-infrastructure (V2I) systems, enabling smooth handovers, efficient beam management, and reliab…
Large-Scale Model Enabled Semantic Communication Based on Robust Knowledge Distillation
Kuiyuan Ding, Caili Guo, Yang Yang +2
Large-scale models (LSMs) can be an effective framework for semantic representation and understanding, thereby providing a suitable tool for designing semantic communication (SC) s…
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights
Maryam Ben Driss, Essaid Sabir, Halima Elbiaze +1
Artificial Intelligence (AI) is expected to play an instrumental role in the next generation of wireless systems, such as sixth-generation (6G) mobile network. However, massive dat…
Artificial Intelligence Techniques for Next-Generation Mega Satellite Networks
Bassel Al Homssi, Kosta Dakic, Ke Wang +6
Space communications, particularly massive satellite networks, re-emerged as an appealing candidate for next generation networks due to major advances in space launching, electroni…