3 papers
eess.SP2026
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…
cs.IT2025
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…
cs.IT2024
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…