research-article

A comparative study of cognitive radio platforms

Authors:

Moshe Timothy Masonta,

Fisseha MekuriaAuthors Info & Claims

MEDES '12: Proceedings of the International Conference on Management of Emergent Digital EcoSystems

Pages 145 - 149

https://doi.org/10.1145/2457276.2457301

Published: 28 October 2012 Publication History

Abstract

Cognitive radio (CR) technology has become one of the buzzwords within the wireless communications community over the past 12 years. Its ability to learn, decide and adapt to the external environment made CR attractive to regulators, researchers, academia, politicians and the industry. CR promises to bring a paradigm shift in spectrum management policies from command-and-control regime to dynamic and opportunistic spectrum access. Despite more than a decade of research in the CR area, there are too little CR systems ready for the market. This lack of ready CR systems may reflect an overemphasis in the CR literature on theory and simulations with less work done in experimental-based-research and publications. In order to fast-track the real-life deployments of CR systems, the research community is now focusing on the development of CR platforms. With different software defined radio (SDR) packages and hardware available, it is confusing to decide which one to build or use. The objective of this paper is to study the design of CR platforms making use available SDR software packages and hardware. Our conclusion is that CR research should now focus on experimental-based results using real-life CR platforms in order to realize market-ready CR systems.

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Cited By

Murugan Suganthi SRamaswamy Shunmugavel G(2021)Improved hard fusion methods for enhancing detection and energy efficiency in cognitive radio networksConcurrency and Computation: Practice and Experience10.1002/cpe.668634:5Online publication date: 3-Nov-2021
https://doi.org/10.1002/cpe.6686
Santos-Luna EPrieto-Guerrero AAguilar-Gonzalez RRamos VLopez-Benitez MCardenas-Juarez M(2019)A Spectrum Analyzer Based on a Low-Cost Hardware-Software Integration2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)10.1109/IEMCON.2019.8936239(0607-0612)Online publication date: Oct-2019
https://doi.org/10.1109/IEMCON.2019.8936239
Sharma VJoshi S(2018)A Literature Review on Spectrum Sensing in Cognitive Radio Applications2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS)10.1109/ICCONS.2018.8663089(883-893)Online publication date: Jun-2018
https://doi.org/10.1109/ICCONS.2018.8663089
Show More Cited By

Index Terms

A comparative study of cognitive radio platforms

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cover image ACM Other conferences

MEDES '12: Proceedings of the International Conference on Management of Emergent Digital EcoSystems

October 2012

199 pages

ISBN:9781450317559

DOI:10.1145/2457276

General Chair:
Janusz Kacprzyk
Systems Research Institute/Polish Academy of Sciences, Poland
,
Program Chair:
Dominique Laurent
University of Cergy-Pontoise, France
,
Publications Chair:
Richard Chbeir
LIUPPA Laboratory - Pau University, Anglet, France

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 October 2012

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MEDES '12

Sponsor:

Association de Promotion de la Recherche ScIentifique en eMErgen

MEDES '12: International Conference on Management of Emergent Digital EcoSystems

October 28 - 31, 2012

Addis Ababa, Ethiopia

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MEDES '12 Paper Acceptance Rate 16 of 50 submissions, 32%;

Overall Acceptance Rate 267 of 682 submissions, 39%

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Cited By

Murugan Suganthi SRamaswamy Shunmugavel G(2021)Improved hard fusion methods for enhancing detection and energy efficiency in cognitive radio networksConcurrency and Computation: Practice and Experience10.1002/cpe.668634:5Online publication date: 3-Nov-2021
https://doi.org/10.1002/cpe.6686
Santos-Luna EPrieto-Guerrero AAguilar-Gonzalez RRamos VLopez-Benitez MCardenas-Juarez M(2019)A Spectrum Analyzer Based on a Low-Cost Hardware-Software Integration2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)10.1109/IEMCON.2019.8936239(0607-0612)Online publication date: Oct-2019
https://doi.org/10.1109/IEMCON.2019.8936239
Sharma VJoshi S(2018)A Literature Review on Spectrum Sensing in Cognitive Radio Applications2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS)10.1109/ICCONS.2018.8663089(883-893)Online publication date: Jun-2018
https://doi.org/10.1109/ICCONS.2018.8663089
Alfahham ABerekovic M(2017)Energy Efficient Cooperative Spectrum Sensing in Cognitive Radio Sensor Network Using FPGAProceedings of the 21st Conference of Open Innovations Association FRUCT10.23919/FRUCT.2017.8250160(16-25)Online publication date: 13-Nov-2017
https://dl.acm.org/doi/10.23919/FRUCT.2017.8250160
Mishra VMathew JLau CMishra VMathew JLau C(2016)Cognitive Radio Network- A ReviewQoS and Energy Management in Cognitive Radio Network10.1007/978-3-319-45860-1_2(39-95)Online publication date: 26-Oct-2016
https://doi.org/10.1007/978-3-319-45860-1_2
Le Nir VScheers B(2015)Evaluation of open-source software frameworks for high fidelity simulation of cognitive radio networks2015 International Conference on Military Communications and Information Systems (ICMCIS)10.1109/ICMCIS.2015.7158694(1-6)Online publication date: May-2015
https://doi.org/10.1109/ICMCIS.2015.7158694
Masonta MMekuria FMzyece MDjouani K(2015)Adaptive spectrum decision framework for heterogeneous dynamic spectrum access networksAFRICON 201510.1109/AFRCON.2015.7332055(1-5)Online publication date: Sep-2015
https://doi.org/10.1109/AFRCON.2015.7332055
Masonta MKola LLysko APieterse LVelempini M(2015)Network performance analysis of the Limpopo TV white space (TVWS) trial networkAFRICON 201510.1109/AFRCON.2015.7331923(1-5)Online publication date: Sep-2015
https://doi.org/10.1109/AFRCON.2015.7331923
Budihal RR SN MJamadagni H(2014)ANRC hybrid test bed implementation and an End-to-End performance characterization of dynamic spectrum access2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI)10.1109/ICACCI.2014.6968195(1175-1182)Online publication date: Sep-2014
https://doi.org/10.1109/ICACCI.2014.6968195

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