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Open AccessFeature PaperArticle

A Deep Learning Based Transmission Algorithm for Mobile Device-to-Device Networks

by Tae-Won Ban †,‡ and Woongsup Lee *,‡
Department of Information and Communication Engineering, Gyeongsang National University, Gyeongnam 53064, Korea
*
Author to whom correspondence should be addressed.
Current address: Marine Science Bldg. 807, Tongyeong, Gyeongnam 53064, Korea.
These authors contributed equally to this work.
Electronics 2019, 8(11), 1361; https://doi.org/10.3390/electronics8111361
Received: 31 October 2019 / Revised: 13 November 2019 / Accepted: 14 November 2019 / Published: 16 November 2019
Recently, device-to-device (D2D) communications have been attracting substantial attention because they can greatly improve coverage, spectral efficiency, and energy efficiency, compared to conventional cellular communications. They are also indispensable for the mobile caching network, which is an emerging technology for next-generation mobile networks. We investigate a cellular overlay D2D network where a dedicated radio resource is allocated for D2D communications to remove cross-interference with cellular communications and all D2D devices share the dedicated radio resource to improve the spectral efficiency. More specifically, we study a problem of radio resource management for D2D networks, which is one of the most challenging problems in D2D networks, and we also propose a new transmission algorithm for D2D networks based on deep learning with a convolutional neural network (CNN). A CNN is formulated to yield a binary vector indicating whether to allow each D2D pair to transmit data. In order to train the CNN and verify the trained CNN, we obtain data samples from a suboptimal algorithm. Our numerical results show that the accuracies of the proposed deep learning based transmission algorithm reach about 85%∼95% in spite of its simple structure due to the limitation in computing power. View Full-Text
Keywords: D2D; mobile caching; CNN; deep learning; transmission algorithm D2D; mobile caching; CNN; deep learning; transmission algorithm
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Ban, T.-W.; Lee, W. A Deep Learning Based Transmission Algorithm for Mobile Device-to-Device Networks. Electronics 2019, 8, 1361.

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