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We introduce a novel physical layer scheme for single user Multiple-Input Multiple-Output (MIMO) communications based on unsupervised deep learning using an autoencoder.
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“Iterative Water-filling for Gaussian Vector Multiple Access Channels”
Wei Yu, Wonjong Rhee, Stephen Boyd and John. Cioffi · 2004
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“Fundamentals of Wireless Communication”
David Tse and Pramod Viswanath · 2005
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“Multiple-Antenna Techniques for Wireless Communications - A Comprehensive Literature Survey”
J. Mietzner et al · 2009
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“Online adaptive modulation and coding with support vector machines”
R. Daniels and R.. Heath · 2010
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“Joint Channel Estimation and Resource Allocation for MIMO Systems - Part I: Single-User Analysis”
A. Soysal and S. Ulukus · 2010
Cited alongside, same era.
“The codebook design for MIMO precoding systems in LTE and LTE-A”
J. Wang, M. Wu and F. Zheng · 2010
Cited alongside, same era.
“Deep learning”
Ian Goodfellow, Yoshua Bengio and Aaron Courville · 2016
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“Blind detection for MIMO systems with low-resolution ADCs using supervised learning”
Y.-S. Jeon, S.-N. Hong and N. Lee · 2016
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“Learning to communicate: Channel auto-encoders, domain specific regularizers, and attention”
T.. O’Shea, K. Karra and T.. Clancy · 2016
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“Deep Learning-Based Communication Over the Air”
S. Dorner, S. Cammerer, J. Hoydis and S. ten Brink · 2017
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“An Introduction to Deep Learning for the Physical Layer”
Timothy. O’Shea and Jakob Hoydis · 2017
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Diederik Kingma and Jimmy Ba · 2014
Cited alongside, same era.