1 citations · 1 across the 6 of their papers we have counts for
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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…
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…
Rate-Splitting Multiple Access for 6G: Prototypes, Experimental Results and Link/System level Simulations
Sundar Aditya, Yong Jin Daniel Kim, David Vargas +7
Rate-Splitting Multiple Access (RSMA) is a powerful and versatile physical layer multiple access technique that generalizes and has better interference management capabilities than…