Fast and Efficient Cross Band Channel Prediction Using Machine Learning-Reference-Cited by-同舟云学术

Fast and Efficient Cross Band Channel Prediction Using Machine Learning

Published:2019-10-11 Issue: Volume: Page:
ISSN:
Container-title:The 25th Annual International Conference on Mobile Computing and Networking
language:
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Author:

Bakshi Arjun¹,Mao Yifan¹,Srinivasan Kannan¹,Parthasarathy Srinivasan¹

Affiliation:

1. Ohio State University, Columbus, OH, USA

Funder

Office of Naval Research

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3300061.3345438

Reference38 articles.

1. Maximilian Arnold Sebastian Dörner Sebastian Cammerer Sarah Yan Jakob Hoydis and Stephan ten Brink. 2019. Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction. arXiv preprint arXiv:1901.03664 (2019). Maximilian Arnold Sebastian Dörner Sebastian Cammerer Sarah Yan Jakob Hoydis and Stephan ten Brink. 2019. Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction. arXiv preprint arXiv:1901.03664 (2019).

2. James S. Bergstra Rémi Bardenet Yoshua Bengio and Balázs Kégl. 2011. Algorithms for Hyper-Parameter Optimization. Advances in Neural Information Processing Systems 24 J. Shawe-Taylor R. S. Zemel P. L. Bartlett F. Pereira and K. Q. Weinberger (Eds.). Curran Associates Inc. 2546--2554. http://papers.nips.cc/paper/4443-algorithms-for-hyper-parameter-optimization.pdf James S. Bergstra Rémi Bardenet Yoshua Bengio and Balázs Kégl. 2011. Algorithms for Hyper-Parameter Optimization. Advances in Neural Information Processing Systems 24 J. Shawe-Taylor R. S. Zemel P. L. Bartlett F. Pereira and K. Q. Weinberger (Eds.). Curran Associates Inc. 2546--2554. http://papers.nips.cc/paper/4443-algorithms-for-hyper-parameter-optimization.pdf

3. A Survey on Machine-Learning Techniques in Cognitive Radios

4. Downlink Training Techniques for FDD Massive MIMO Systems: Open-Loop and Closed-Loop Training With Memory

5. Franccois Chollet and others. 2015. Keras. https://keras.io. (2015). Franccois Chollet and others. 2015. Keras. https://keras.io. (2015).

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