Physical Layer Communications System Design Over-the-Air Using Adversarial Networks
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Timothy J. O'Shea | Tamoghna Roy | Nathan West | Benjamin C. Hilburn | Nathan E. West | Tim O'Shea | Tamoghna Roy
[1] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[2] Stephan ten Brink,et al. Deep Learning Based Communication Over the Air , 2017, IEEE Journal of Selected Topics in Signal Processing.
[3] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[4] David Duvenaud,et al. Backpropagation through the Void: Optimizing control variates for black-box gradient estimation , 2017, ICLR.
[5] Timothy J. O'Shea,et al. Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks , 2018, 2019 International Conference on Computing, Networking and Communications (ICNC).
[6] Jakob Hoydis,et al. An Introduction to Deep Learning for the Physical Layer , 2017, IEEE Transactions on Cognitive Communications and Networking.
[7] Jaakko Lehtinen,et al. Progressive Growing of GANs for Improved Quality, Stability, and Variation , 2017, ICLR.
[8] Dong Chao,et al. Universal Software Radio Peripheral , 2010 .
[9] Kiran Karra,et al. Learning to communicate: Channel auto-encoders, domain specific regularizers, and attention , 2016, 2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).