2 citations · 3 across the 10 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.IT2022
A DRL Approach for RIS-Assisted Full-Duplex UL and DL Transmission: Beamforming, Phase Shift and Power Optimization
Nancy Nayak, Sheetal Kalyani, Himal A. Suraweera
We propose a deep reinforcement learning (DRL) approach for a full-duplex (FD) transmission that predicts the phase shifts of the reconfigurable intelligent surface (RIS), base sta…
cs.LG2022
Rotate the ReLU to implicitly sparsify deep networks
Nancy Nayak, Sheetal Kalyani
In the era of Deep Neural Network based solutions for a variety of real-life tasks, having a compact and energy-efficient deployable model has become fairly important. Most of the…