6 papers
Calibrating the Digital Twin Channel: Statistics-Consistent Sim-to-Lab Adaptation for W-Band Industrial OFDM Links
Pulok Tarafder, Abigail O. Oyekola, Jasni Areepatta Mannil +4
Digital twins (DTs) can reduce over-the-air validation cost in industrial wireless networks, but their utility depends on the fidelity of the underlying channel twin (CT). At W-ban…
Digital-Twin Empowered Deep Reinforcement Learning For Site-Specific Radio Resource Management in NextG Wireless Aerial Corridor
Pulok Tarafder, Zoheb Hassan, Imtiaz Ahmed +3
Joint base station (BS) association and beam selection in multi-UAV aerial corridors constitutes a challenging radio resource management (RRM) problem. It is driven by high-dimensi…
Digital-Twin Empowered Site-Specific Radio Resource Management in 5G Aerial Corridor
Pulok Tarafder, Imtiaz Ahmed, Danda B. Rawat +2
Base station (BS) association and beam selection in multi-cell drone corridor networks present unique challenges due to the high altitude, mobility and three-dimensional movement o…
LLM-Integrated Digital Twins for Hierarchical Resource Allocation in 6G Networks
Majumder Haider, Imtiaz Ahmed, Zoheb Hassan +2
Next-generation (NextG) wireless networks are expected to require intelligent, scalable, and context-aware radio resource management (RRM) to support ultra-dense deployments, diver…
Digital Twin Enabled Site Specific Channel Precoding: Over the Air CIR Inference
Majumder Haider, Imtiaz Ahmed, Zoheb Hassan +3
This paper investigates the significance of designing a reliable, intelligent, and true physical environment-aware precoding scheme by leveraging an accurately designed channel twi…
Deep Learning Model-Based Channel Estimation for THz Band Massive MIMO with RF Impairments
Pulok Tarafder, Imtiaz Ahmed, Danda B. Rawat +2
THz band enabled large scale massive MIMO (M-MIMO) is considered as a key enabler for the 6G technology, given its enormous bandwidth and for its low latency connectivity. In the l…