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.IT2021
A Theoretical Performance Bound for Joint Beamformer Design of Wireless Fronthaul and Access Links in Downlink C-RAN
Fehmi Emre Kadan, Ali Özgür Yılmaz
It is known that data rates in standard cellular networks are limited due to inter-cell interference. An effective solution of this problem is to use the multi-cell cooperation ide…
cs.IT2021
Beamformer Design with Smooth Constraint-Free Approximation in Downlink Cloud Radio Access Networks
Fehmi Emre Kadan, Ali Özgür Yılmaz
It is known that data rates in standard cellular networks are limited due to inter-cell interference. An effective solution of this problem is to use the multi-cell cooperation ide…