Francisco Paisana, Ahmed A. S. Seleim, Maicon Kist, Pedro Alvarez, J. Tallon, Christian Blümm, André Puschmann, L. Dasilva
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引用次数: 29
Abstract
This paper describes the design, experimental assessmant 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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