3 papers
cs.IT2025
Low-Complexity OFDM Deep Neural Receivers
Ankit Gupta, Onur Dizdar, Yun Chen +3
Deep neural receivers (NeuralRxs) for Orthogonal Frequency Division Multiplexing (OFDM) signals are proposed for enhanced decoding performance compared to their signal-processing b…
cs.NE2025
NeuromorphicRx: From Neural to Spiking Receiver
Ankit Gupta, Onur Dizdar, Yun Chen +3
In this work, we propose a novel energy-efficient spiking neural network (SNN)-based receiver for 5G-NR OFDM system, called neuromorphic receiver (NeuromorphicRx), replacing the ch…
cs.IT2023
A Proof of Concept for OTFS Resilience in Doubly-Selective Channels by GPU-Enabled Real-Time SDR
Yi Xien Yap, Neil Bhushan, Onur Dizdar +4
Orthogonal time frequency space (OTFS) is a modulation technique which is robust against the disruptive effects of doubly-selective channels. In this paper, we perform an experimen…