research-article

Iris: an architecture for cognitive radio networking testbeds

Authors:

Linda E. DoyleAuthors Info & Claims

IEEE Communications Magazine, Volume 48, Issue 9

Pages 114 - 122

https://doi.org/10.1109/MCOM.2010.5560595

Published: 01 September 2010 Publication History

Abstract

Iris is a software architecture for building highly reconfigurable radio networks. It has formed the basis for a wide range of dynamic spectrum access and cognitive radio demonstration systems presented at a number of international conferences between 2007 and 2010. These systems have been developed using heterogeneous processing platforms including general-purpose processors, field-programmable gate arrays and the Cell Broadband Engine. Focusing on runtime reconfiguration, Iris offers support for all layers of the network stack and provides a platform for the development of not only reconfigurable point-to-point radio links but complete networks of cognitive radios. This article provides an overview of Iris, presenting the unique features of the architecture and illustrating how it can be used to develop a cognitive radio testbed.

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Paisana FSantos JKaminski NMarquez-Barja JMarchetti NDaSilva L(2021)Implementation of temporal spectrum sharing for radar bands2015 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)10.1109/DySPAN.2015.7343913(271-272)Online publication date: 9-Mar-2021
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Santos JPaisana FKaminski NMarquez-Barja JDaSilva L(2021)Context-aware radar modeling framework2015 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)10.1109/DySPAN.2015.7343895(113-122)Online publication date: 9-Mar-2021
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cover image IEEE Communications Magazine

IEEE Communications Magazine Volume 48, Issue 9

September 2010

129 pages

ISSN:0163-6804

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IEEE Press

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Published: 01 September 2010

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Paisana FSantos JKaminski NMarquez-Barja JMarchetti NDaSilva L(2021)Implementation of temporal spectrum sharing for radar bands2015 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)10.1109/DySPAN.2015.7343913(271-272)Online publication date: 9-Mar-2021
https://dl.acm.org/doi/10.1109/DySPAN.2015.7343913
Santos JPaisana FKaminski NMarquez-Barja JDaSilva L(2021)Context-aware radar modeling framework2015 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)10.1109/DySPAN.2015.7343895(113-122)Online publication date: 9-Mar-2021
https://dl.acm.org/doi/10.1109/DySPAN.2015.7343895
Harris FBell RAdsumilli V(2021)Spectrum sharing between a ZigBee frequency hopper and an FSK modem2015 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)10.1109/DySPAN.2015.7343842(3-4)Online publication date: 9-Mar-2021
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Bertizzolo LBonati LDemirors EMelodia TPefkianakis YChing-Ju Lin K(2019)ArenaProceedings of the 13th International Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization10.1145/3349623.3355473(5-12)Online publication date: 4-Oct-2019
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Liu JWu HLi ZDing BWang TBoukerche AKanhere SBellavista P(2018)CR-GRTProceedings of the 21st ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems10.1145/3242102.3242114(333-341)Online publication date: 25-Oct-2018
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Wu HWang TYuan ZPeng CLi ZTan ZDing BLi XLi YLiu JLu SVan der Merwe KGreenstein BSrinivasan K(2017)The Tick Programmable Low-Latency SDR SystemProceedings of the 23rd Annual International Conference on Mobile Computing and Networking10.1145/3117811.3117834(101-113)Online publication date: 4-Oct-2017
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Rawat DBajracharya CGrant S(2017)nROAR: Near Real-Time Opportunistic Spectrum Access and Management in Cloud-Based Database-Driven Cognitive Radio NetworksIEEE Transactions on Network and Service Management10.1109/TNSM.2017.273020114:3(745-755)Online publication date: 1-Sep-2017
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Kumar KPrakash ATripathi R(2016)Spectrum handoff in cognitive radio networksJournal of Network and Computer Applications10.1016/j.jnca.2015.10.00861:C(161-188)Online publication date: 1-Feb-2016
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