5 citations · 9 across the 7 of their papers we have counts for
8 papers
GeoRVQ: Decoder-aware geometry for residual-token prediction in physiological signals
Bo Cui, Yaowen Zhang
Residual vector quantization (RVQ) turns physiological waveforms into compact token sequences, but conventional masked modeling treats every incorrect token as equally costly. We p…
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…
From Agent Failure Paths to Quantified Residual Risk: A Compositional Framework for Resilient Agentic AI
Hassan Karim, Sai Sitharaman, Deepti Gupta +1
Agentic AI is crossing trust boundaries faster than current risk models can represent. Existing approaches provide one of two partial views. They either describe failure mechanisms…
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…
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…
Metaverse: Requirements, Architecture, Standards, Status, Challenges, and Perspectives
Danda B Rawat, Hassan El alami
The Metaverse is driving the next wave of innovation for new opportunities by replacing the digital world (Internet) with the virtual world through a single, shared, immersive, per…