A Family of Deep Learning Architectures for Channel Estimation and
Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO

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A Family of Deep Learning Architectures for Channel Estimation and Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO

20 December 2019

Kumar Vijay Mishra

Bhavani Shankar

Björn E. Ottersten

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Papers citing "A Family of Deep Learning Architectures for Channel Estimation and Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO"

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Title
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review Sajjad Emdadi Mahdimahalleh AI4CE 114 1 0 01 Aug 2023
Implicit Channel Learning for Machine Learning Applications in 6G Wireless Networks Ahmet M. Elbir W. Shi Kumar Vijay Mishra Anastasios K. Papazafeiropoulos Symeon Chatzinotas 96 3 0 24 Jun 2022
Federated Channel Learning for Intelligent Reflecting Surfaces With Fewer Pilot Signals Ahmet M. Elbir Sinem Coleri Kumar Vijay Mishra 67 3 0 06 May 2022
Terahertz-Band Joint Ultra-Massive MIMO Radar-Communications: Model-Based and Model-Free Hybrid Beamforming Ahmet M. Elbir Kumar Vijay Mishra Symeon Chatzinotas 78 132 0 27 Feb 2021
Cognitive Learning-Aided Multi-Antenna Communications Ahmet M. Elbir Kumar Vijay Mishra 86 8 0 07 Oct 2020