Context-Aware Cognitive Radio Using Deep Learning

Francisco Paisana,Ahmed Selim,Maicon Kist,Pedro Alvarez,Justin Tallon,Christian Bluemm,Andre Puschmann,Luiz Dasilva

2017 IEEE INTERNATIONAL SYMPOSIUM ON DYNAMIC SPECTRUM ACCESS NETWORKS (IEEE DYSPAN)（2017）

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摘要

This paper describes the design, experimental assessment and Software Defined Radio (SDR) implementation of a Secondary User (SU) link for the IEEE DySPAN Challenge 2017. The objective is to successfully discern the behavior of and coexist with a Primary User (PU), whose channel access patterns vary over time. For that end, we utilize sensing, deep learning and dynamic optimization.

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关键词

Software-Defined Radio,Deep Learning,Cognitive Radio,Spectrum Sharing,Spectrum Sensing

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