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Context-aware cognitive radio using deep learning | IEEE Conference Publication | IEEE Xplore

Context-aware cognitive radio using deep learning


Abstract:

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....Show More

Abstract:

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.
Date of Conference: 06-09 March 2017
Date Added to IEEE Xplore: 08 May 2017
ISBN Information:
Conference Location: Baltimore, MD, USA

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