Learning OFDM Waveforms with PAPR and ACLR Constraints

21 October 2021

Papers citing "Learning OFDM Waveforms with PAPR and ACLR Constraints"

6 / 6 papers shown

Title
Low PAPR MIMO-OFDM Design Based on Convolutional Autoencoder Yara Huleihel Haim Permuter 25 6 0 11 Jan 2023
Semantic Communications with Discrete-time Analog Transmission: A PAPR Perspective Yulin Shao Deniz Gunduz 21 32 0 17 Aug 2022
DeepTx: Deep Learning Beamforming with Channel Prediction Janne M. J. Huttunen D. Korpi Mikko Honkala 19 13 0 16 Feb 2022
DeepRx: Fully Convolutional Deep Learning Receiver Mikko Honkala D. Korpi Janne M. J. Huttunen 30 133 0 04 May 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,572 0 17 Apr 2017
Learning to Decode Linear Codes Using Deep Learning Eliya Nachmani Yair Be’ery D. Burshtein 95 456 0 16 Jul 2016