This paper presents an overview of a Cognitive Radio Kit, an open software defined radio framework developed specifically to enable experimental research in cognitive radio and dynamic spectrum techniques. Currently available open software defined platforms are limited by performance and bandwidth constraints, and inadequate frequency tuning range at the RF front-end. The proposed platform addressed those limitations by providing the ability to dynamically add hardware based acceleration for baseband processing, coupled with up to four wide-tuning range RF front-ends. The challenge resides in defining the architecture and programming model for the platform. All those considerations along with an application example are discussed and presented in this paper.

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Shreejith SMathew LPrasad VFahmy S(2018)Efficient Spectrum Sensing for Aeronautical LDACS Using Low-Power CorrelatorsIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2018.280662426:6(1183-1191)Online publication date: Jun-2018
https://doi.org/10.1109/TVLSI.2018.2806624
Shreejith SAmbede AVinod AFahmy S(2016)A power and time efficient radio architecture for LDACS1 air-to-ground communication2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC)10.1109/DASC.2016.7778043(1-6)Online publication date: Sep-2016
https://doi.org/10.1109/DASC.2016.7778043
Bhatt BAnderson AGrunwald DLi LRondeau TSmith J(2015)Architecture-Based Software Designs for SDR'sProceedings of the 2015 Workshop on Software Radio Implementation Forum10.1145/2801676.2801687(25-30)Online publication date: 7-Sep-2015
https://dl.acm.org/doi/10.1145/2801676.2801687
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cover image ACM SIGMOBILE Mobile Computing and Communications Review

ACM SIGMOBILE Mobile Computing and Communications Review Volume 17, Issue 1

January 2013

75 pages

ISSN:1559-1662

EISSN:1931-1222

DOI:10.1145/2502935

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Association for Computing Machinery

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Published: 12 July 2013

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Shreejith SMathew LPrasad VFahmy S(2018)Efficient Spectrum Sensing for Aeronautical LDACS Using Low-Power CorrelatorsIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2018.280662426:6(1183-1191)Online publication date: Jun-2018
https://doi.org/10.1109/TVLSI.2018.2806624
Shreejith SAmbede AVinod AFahmy S(2016)A power and time efficient radio architecture for LDACS1 air-to-ground communication2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC)10.1109/DASC.2016.7778043(1-6)Online publication date: Sep-2016
https://doi.org/10.1109/DASC.2016.7778043
Bhatt BAnderson AGrunwald DLi LRondeau TSmith J(2015)Architecture-Based Software Designs for SDR'sProceedings of the 2015 Workshop on Software Radio Implementation Forum10.1145/2801676.2801687(25-30)Online publication date: 7-Sep-2015
https://dl.acm.org/doi/10.1145/2801676.2801687
Shreejith SBanarjee BVipin KFahmy S(2015)Dynamic Cognitive Radios on the Xilinx Zynq Hybrid FPGACognitive Radio Oriented Wireless Networks10.1007/978-3-319-24540-9_35(427-437)Online publication date: 24-Oct-2015
https://doi.org/10.1007/978-3-319-24540-9_35

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