6 papers
JEPA for AI-Native 6G: Predictive Representations and Open Challenges
Sheikh Salman Hassan, Irshad A. Meer, Almoatssimbillah Saifaldawla +9
Sixth-generation (6G) networks are moving toward AI-native operation, where learning modules are embedded across the radio access network (RAN), edge, and core. This transition req…
Multi-Connectivity for UAVs: A Measurement Study of Integrating Cellular, Aerial Mesh, and LEO Satellite Links
Aygun Baltaci, Irshad A. Meer, Mustafa Ozger +2
Future uncrewed aerial vehicle (UAV) systems increasingly combine heterogeneous communication technologies, such as low-latency aerial mesh, terrestrial cellular, and satellite lin…
Incremental Learning-Based Open-Set Classification of Unknown UAVs via RF Signal Semantics
Julie Liu, Irshad A. Meer, Cicek Cavdar +1
The proliferation of civilian and commercial unmanned aerial vehicles (UAVs) has heightened the demand for reliable radio frequency (RF)-based drone identification systems that can…
EARL: Energy-Aware Adaptive Antenna Control with Reinforcement Learning in O-RAN Cell-Free Massive MIMO Networks
Zilin Ge, Ozan Alp Topal, Irshad Ahmad Meer +2
Cell-free massive multi-input multi-output (MIMO) promises uniform high performance across the network, but also brings a high energy cost due to joint transmission from distribute…
Explainable AI for UAV Mobility Management: A Deep Q-Network Approach for Handover Minimization
Irshad A. Meer, Bruno Hörmann, Mustafa Ozger +4
The integration of unmanned aerial vehicles (UAVs) into cellular networks presents significant mobility management challenges, primarily due to frequent handovers caused by probabi…
Hierarchical Multi Agent DRL for Soft Handovers Between Edge Clouds in Open RAN
F. Giarrè, I. A. Meer, M. Masoudi +2
Multi-connectivity (MC) for aerial users via a set of ground access points offers the potential for highly reliable communication. Within an open radio access network (O-RAN) archi…