User-Driven Adaptive CSI Feedback With Ordered Vector Quantization
Author:
Affiliation:
1. Department of Computer Engineering, Technical University of Munich, Munich, Germany
2. Department of Electrical and Electronic Engineering, Imperial College London, London, U.K.
Funder
Futurewei Technologies Inc., USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/5962382/10313069/10208156.pdf?arnumber=10208156
Reference17 articles.
1. Neural discrete representation learning;van den oord;Proc Adv Neural Inf Process Syst,2017
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4. An efficient augmented Lagrangian method with applications to total variation minimization
5. Learning ordered representations with nested dropout;rippel;Proc 31st Int Conf Mach Learn,2014
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