Cognitive radio applications to dynamic spectrum allocation: a discussion and an illustrative example
David Maldonado, Bin Le, Akilah L. Hugine, Thomas W. Rondeau, C.W. Bostian
Abstract
David Maldonado, Bin Le, Akilah L. Hugine, Thomas W. Rondeau, C.W. Bostian
Abstract
In an effort to improve radio spectrum management and promote a more efficient use of it, regulatory bodies are currently trying to adopt a new spectrum access model. At the same time, cognitive radio technology has received a lot of interest as a possible enabling technology. In this paper, we provide a brief description of the broad impact of cognitive radios in different markets. At Virginia Tech's Center for Wireless Telecommunications (CWT), we have designed a biologically inspired cognitive engine with dynamic spectrum access (DSA) as one of its intended applications. An experimental software simulation shows a 20 dB SINR improvement using cognitive techniques in an interference environment over that provided by current IEEE 802.11a service PHY standard
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In an effort to improve radio spectrum management and promote a more efficient use of it, regulatory bodies are currently trying to adopt a new spectrum access model. At the same time, cognitive radio technology has received a lot of interest as a possible enabling technology. In this paper, we provide a brief description of the broad impact of cognitive radios in different markets. At Virginia Tech's Center for Wireless Telecommunications (CWT), we have designed a biologically inspired cognitive engine with dynamic spectrum access (DSA) as one of its intended applications. An experimental software simulation shows a 20 dB SINR improvement using cognitive techniques in an interference environment over that provided by current IEEE 802.11a service PHY standard
Key concepts: Cognitive radio, Computer science, Wireless, Interference (communication), Spectrum management, Telecommunications, Software-defined radio, Frequency allocation