Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems

30 June 2021

Papers citing "Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems"

9 / 9 papers shown

Title
Machine Learning for MU-MIMO Receive Processing in OFDM Systems Mathieu Goutay Fayçal Ait Aoudia J. Hoydis J. Gorce 46 24 0 15 Dec 2020
DeepRx MIMO: Convolutional MIMO Detection with Learned Multiplicative Transformations D. Korpi Mikko Honkala Janne M. J. Huttunen Vesa Starck 26 31 0 30 Oct 2020
RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection Kumar Pratik Bhaskar D. Rao Max Welling 58 54 0 30 Jun 2020
Pruning the Pilots: Deep Learning-Based Pilot Design and Channel Estimation for MIMO-OFDM Systems Mahdi Boloursaz Mashhadi Deniz Gunduz 59 124 0 21 Jun 2020
"Machine LLRning": Learning to Softly Demodulate O. Shental J. Hoydis 36 53 0 02 Jul 2019
Adaptive Neural Signal Detection for Massive MIMO Mehrdad Khani Mohammad Alizadeh J. Hoydis Phil Fleming 39 213 0 11 Jun 2019
The Roadmap to 6G -- AI Empowered Wireless Networks Khaled B. Letaief Wei Chen Yuanming Shi Jun Zhang Y. Zhang 46 1,358 0 26 Apr 2019
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 1.1K 20,813 0 17 Apr 2017
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 332 10,172 0 16 Mar 2016