5 papers
Enwar 3.0: An Agentic Multi-Modal LLM Orchestrator for Situation-Aware Beamforming, Blockage Prediction, and Handover Management
Ahmad M. Nazar, Abdulkadir Celik, Asmaa Abdallah +3
Maintaining robust millimeter-wave (mmWave) connectivity in vehicular networks requires real-time adaptation to environmental dynamics, sensor degradation, and link variability. Th…
Multi-Modal Sensor Fusion for Proactive Blockage Prediction in mmWave Vehicular Networks
Ahmad M. Nazar, Abdulkadir Celik, Mohamed Y. Selim +3
Vehicular communication systems operating in the millimeter wave (mmWave) band are highly susceptible to signal blockage from dynamic obstacles such as vehicles, pedestrians, and i…
Design and Implementation of ARA Wireless Living Lab for Rural Broadband and Applications
Taimoor Ul Islam, Joshua Ofori Boateng, Md Nadim +31
Addressing the broadband gap between rural and urban regions requires rural-focused wireless research and innovation. In the meantime, rural regions provide rich, diverse use cases…
NextG-GPT: Leveraging GenAI for Advancing Wireless Networks and Communication Research
Ahmad M. Nazar, Mohamed Y. Selim, Daji Qiao +1
Artificial intelligence (AI) and wireless networking advancements have created new opportunities to enhance network efficiency and performance. In this paper, we introduce Next-Gen…
ENWAR: A RAG-empowered Multi-Modal LLM Framework for Wireless Environment Perception
Ahmad M. Nazar, Abdulkadir Celik, Mohamed Y. Selim +3
Large language models (LLMs) hold significant promise in advancing network management and orchestration in 6G and beyond networks. However, existing LLMs are limited in domain-spec…