AI-Aided Online Adaptive OFDM Receiver: Design and Experimental Results

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AI-Aided Online Adaptive OFDM Receiver: Design and Experimental Results

17 December 2018

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Papers citing "AI-Aided Online Adaptive OFDM Receiver: Design and Experimental Results"

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Title
End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning Sangwoo Park Osvaldo Simeone Joonhyuk Kang 83 42 0 03 Mar 2020
One-Bit OFDM Receivers via Deep Learning Eren Balevi J. Andrews MQ 95 98 0 02 Nov 2018
Deep Learning-Based Channel Estimation Mehran Soltani V. Pourahmadi A. Mirzaei H. Sheikhzadeh 71 518 0 13 Oct 2018
Model-Driven Deep Learning for Physical Layer Communications Hengtao He Shi Jin Chao-Kai Wen Fei Gao Geoffrey Ye Li Zongben Xu AI4CE 60 375 0 17 Sep 2018
Over the Air Deep Learning Based Radio Signal Classification Tim O'Shea Tamoghna Roy T. Clancy 74 1,089 0 13 Dec 2017
An Iterative BP-CNN Architecture for Channel Decoding Fei Liang Cong Shen Feng Wu 50 240 0 18 Jul 2017
Deep Learning-Based Communication Over the Air Sebastian Dörner Sebastian Cammerer J. Hoydis S. Brink 63 719 0 11 Jul 2017
Deep MIMO Detection N. Samuel Tzvi Diskin A. Wiesel 131 409 0 04 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 827 11,943 0 09 Mar 2017
RNN Decoding of Linear Block Codes Eliya Nachmani Elad Marciano D. Burshtein Yair Be’ery AI4CE 109 88 0 24 Feb 2017
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 142 2,203 0 02 Feb 2017
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014