DeepRx: Fully Convolutional Deep Learning Receiver

4 May 2020

Papers citing "DeepRx: Fully Convolutional Deep Learning Receiver"

8 / 8 papers shown

Title
Novel Deep Neural OFDM Receiver Architectures for LLR Estimation Hüseyin Çevik Erhan Karakoca İbrahim Hökelek Ali Görçin 62 0 0 26 Mar 2025
Rateless Joint Source-Channel Coding, and a Blueprint for 6G Semantic Communications System Design Saeed R. Khosravirad 50 0 0 10 Feb 2025
Bit Error and Block Error Rate Training for ML-Assisted Communication Reinhard Wiesmayr Gian Marti C. Dick Haochuan Song Christoph Studer 26 9 0 25 Oct 2022
RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM Detection Jiarui Xu Zhou Zhou Lianjun Li Lizhong Zheng Lingjia Liu 12 24 0 03 Oct 2021
Blind Coherent Preamble Detection via Neural Networks Jafar Mohammadi Gerhard Schreiber T. Wild Yejian Chen AI4TS 8 2 0 30 Sep 2021
HybridDeepRx: Deep Learning Receiver for High-EVM Signals Jaakko Pihlajasalo D. Korpi M. Honkala J. Huttunen T. Riihonen J. Talvitie Alberto Brihuega M. Uusitalo M. Valkama 21 12 0 30 Jun 2021
Signal Processing Based Deep Learning for Blind Symbol Decoding and Modulation Classification Samer S. Hanna C. Dick D. Cabric 29 38 0 19 Jun 2021
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 87 2,158 0 02 Feb 2017