6 papers
A Knowledge-Centric Communication For Autonomous Cislunar Networks
Afan Ali, Daniel Benevides da Costa, Ali Arshad Nasir
Future lunar infrastructure requires communication as a persistent service rather than a mission specific capability. Communication, digital twin, and artificial intelligence (AI)…
GenAI-Enhanced Digital Twins for Predictive Interference Management in Ultra-Dense Networks
Afan Ali, Ali Arshad Nasir, Daniel Benevides da Costa
Ultra-dense indoor next-generation networks suffer severe interference from mobility-induced blockages and localized multi-user hotspots that conventional digital twins~(DTs) canno…
Cognitive Digital Twins for Self-Aware Channel Estimation
Afan Ali, Ali Arshad Nasir, Daniel Benevides da Costa
Artificial intelligence (AI) and machine learning (ML)-based channel estimators silently degrade when propagation conditions drift from their training distributions. This letter pr…
Redefining Digital Twins as Predictive Decision Engines for AI-Native Wireless Networks
Afan Ali, Ali Arshad Nasir, Naveed Iqbal +1
Future artificial intelligence (AI)-native 6G networks require wireless systems that move beyond reactive optimization toward autonomous, predictive, and continuously adaptive inte…
A Generative AI-Enhanced Digital Twin Framework for Proactive Interference Management in Hybrid Near/Far-Field Wireless Systems
Afan Ali, Ali Arshad Nasir, Daniel Benevides da Costa
The applications of Digital Twins (DT) and Generative AI (GenAI) have demonstrated their capabilities in modeling and learning-based wireless communications. However, their joint p…
Stacked Intelligent Metasurfaces for Near-Field Multi-User Covert Communications
Ahmed M. Benaya, Ali A. Nasir, Khaled M. Rabie +1
Reconfigurable intelligent surfaces have emerged as a cutting-edge technology for next-generation wireless communications that are capable of reconfiguring the wireless environment…