The need for higher data rates is increasing as a result of the transition from voice-only communication to wireless multimedia and web type of applications. Given the limitations of natural frequency spectrum, it becomes obvious that current static frequency allocation schemes cannot accommodate these requirements of increasing number of higher data rate devices. As a result, innovative techniques that can offer new ways of exploiting the available spectrum are needed. Cognitive radio arises to be a tempting solution to spectral crowding problem by introducing the opportunistic usage of frequency bands that are not heavily occupied by licensed users [1]. While there is no agreement on the formal definition of cognitive radio as of now, the concept has evolved recently to include various meanings in several contexts [2].
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Arslan, H., Yücek, T. (2007). Spectrum Sensing for Cognitive Radio Applications. In: Arslan, H. (eds) Cognitive Radio, Software Defined Radio, and Adaptive Wireless Systems. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-5542-3_9
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DOI: https://doi.org/10.1007/978-1-4020-5542-3_9
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