Deep Learning for Intelligent Wireless Networks: A Comprehensive Survey.

IEEE Communications Surveys & Tutorials(2018)

引用 627|浏览25
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摘要
As a promising machine learning tool to handle the accurate pattern recognition from complex raw data, deep learning (DL) is becoming a powerful method to add intelligence to wireless networks with large-scale topology and complex radio conditions. DL uses many neural network layers to achieve a brain-like acute feature extraction from high-dimensional raw data. It can be used to find the network ...
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关键词
Machine learning,Wireless networks,Feature extraction,Routing,Computers,Interference,Deep learning
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