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A Deep Learning Framework for Hybrid Beamforming Without Instantaneous
  CSI Feedback

A Deep Learning Framework for Hybrid Beamforming Without Instantaneous CSI Feedback

19 June 2020
Ahmet M. Elbir
ArXivPDFHTML

Papers citing "A Deep Learning Framework for Hybrid Beamforming Without Instantaneous CSI Feedback"

4 / 4 papers shown
Title
Enhancing Vehicular Networks with Generative AI: Opportunities and
  Challenges
Enhancing Vehicular Networks with Generative AI: Opportunities and Challenges
Teef David
Kassi Muhammad
Kevin Nassisid
Bronny Farus
37
1
0
01 Jul 2024
Binarized Aggregated Network with Quantization: Flexible Deep Learning
  Deployment for CSI Feedback in Massive MIMO System
Binarized Aggregated Network with Quantization: Flexible Deep Learning Deployment for CSI Feedback in Massive MIMO System
Zhilin Lu
Xudong Zhang
Hongyi He
Jintao Wang
Jian Song
MQ
24
39
0
01 May 2021
Federated Learning for Channel Estimation in Conventional and
  RIS-Assisted Massive MIMO
Federated Learning for Channel Estimation in Conventional and RIS-Assisted Massive MIMO
Ahmet M. Elbir
Sinem Coleri
34
129
0
25 Aug 2020
A Family of Deep Learning Architectures for Channel Estimation and
  Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO
A Family of Deep Learning Architectures for Channel Estimation and Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO
Ahmet M. Elbir
Kumar Vijay Mishra
Bhavani Shankar
Björn E. Ottersten
11
38
0
20 Dec 2019
1