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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/27982

Title: ARAL-CR: An Adaptive Reasoning And Learning Cognitive Radio Platform
Authors: Sao-Jie Chen;Pao-Ann Hsiung;Chu Yu;Mao-Hsu Yen;Sezer S.;Schulte M.;Yu-Hen Hu
Contributors: NTOU:Department of Computer Science and Engineering
Keywords: GNU radio;baseband transceiver;multi-band RF front-end;reasoning;learning framework
Date: 2010-07
Issue Date: 2011-10-21T02:34:52Z
Publisher: International Symposium on Systems: Architectures, MOdeling, and Simulation (SAMOS)
Abstract: Abstract:This paper discusses the realization of a cognitive radio (CR) reconfigurable communication architecture and platform. In particular, four key research activities are presented: (1) the design of a reasoning and learning framework for CR adaptation, (2) a software-defined radio (SDR) baseband system using GNU Radio, (3) the design of a multi-band/multi-protocol RF front-end, and (4) the design of a reconfigurable baseband transceiver.
Relation: pp.324-331
URI: http://ntour.ntou.edu.tw/handle/987654321/27982
Appears in Collections:[資訊工程學系] 演講及研討會

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