8 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.NI2024
Learning from the Best: Active Learning for Wireless Communications
Nasim Soltani, Jifan Zhang, Batool Salehi +3
Collecting an over-the-air wireless communications training dataset for deep learning-based communication tasks is relatively simple. However, labeling the dataset requires expert…
eess.SP2022★ 1 cited
Neural Network-based OFDM Receiver for Resource Constrained IoT Devices
Nasim Soltani, Hai Cheng, Mauro Belgiovine +10
Orthogonal Frequency Division Multiplexing (OFDM)-based waveforms are used for communication links in many current and emerging Internet of Things (IoT) applications, including the…
cs.LG2021★ 8 cited
PRONTO: Preamble Overhead Reduction with Neural Networks for Coarse Synchronization
Nasim Soltani, Debashri Roy, Kaushik Chowdhury
In IEEE 802.11 WiFi-based waveforms, the receiver performs coarse time and frequency synchronization using the first field of the preamble known as the legacy short training field…