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A comparative study of cognitive radio platforms

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dc.contributor.author Masonta, Moshe T
dc.contributor.author Mzyece, M
dc.contributor.author Mekuria, Fisseha
dc.date.accessioned 2013-02-21T05:34:13Z
dc.date.available 2013-02-21T05:34:13Z
dc.date.issued 2012-10
dc.identifier.citation Masonta, MT, Mzyece, M and Mekuria, F. 2012. A comparative study of cognitive radio platforms. 4th International Conference on Management of Emergent Digital EcoSystems, Addis Ababa, Ethiopia, 28-31 October 2012 en_US
dc.identifier.uri http://www.researchgate.net/publication/233910005_A_Comparative_Study_of_Cognitive_Radio_Platforms
dc.identifier.uri http://hdl.handle.net/10204/6566
dc.identifier.uri https://dl.acm.org/doi/pdf/10.1145/2457276.2457301
dc.description 4th International Conference on Management of Emergent Digital EcoSystems, Addis Ababa, Ethiopia, 28-31 October 2012. en_US
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher ACM en_US
dc.relation.ispartofseries Workflow;9596
dc.subject Cognitive Radio en_US
dc.subject GNU Radio en_US
dc.subject Platform en_US
dc.subject Software Defined Radio en_US
dc.title A comparative study of cognitive radio platforms en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Masonta, M. T., Mzyece, M., & Mekuria, F. (2012). A comparative study of cognitive radio platforms. ACM. http://hdl.handle.net/10204/6566 en_ZA
dc.identifier.chicagocitation Masonta, Moshe T, M Mzyece, and Fisseha Mekuria. "A comparative study of cognitive radio platforms." (2012): http://hdl.handle.net/10204/6566 en_ZA
dc.identifier.vancouvercitation Masonta MT, Mzyece M, Mekuria F, A comparative study of cognitive radio platforms; ACM; 2012. http://hdl.handle.net/10204/6566 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Masonta, Moshe T AU - Mzyece, M AU - Mekuria, Fisseha AB - 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. DA - 2012-10 DB - ResearchSpace DP - CSIR KW - Cognitive Radio KW - GNU Radio KW - Platform KW - Software Defined Radio LK - https://researchspace.csir.co.za PY - 2012 T1 - A comparative study of cognitive radio platforms TI - A comparative study of cognitive radio platforms UR - http://hdl.handle.net/10204/6566 ER - en_ZA


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