Spectral Management for a Cognitive Radio Application with Adaptive Modulation and Coding
نویسندگان
چکیده
Cognitive Radio allows Software Defined Radio terminal to perceive its environment and then interact with it. In other words, cognitive radio can collect information from its surroundings, model them and try to adapt its behavior according to them. The main aim of this paper is to shed light on the concept of spectrum sensing and adaptive cognitive radio and propose an application implemented on Small Form Factor (SFF) Software Defined Radio (SDR) development platform. This application includes both a spectrum sensing algorithm based on Fast Fourier Transform which is basically insensitive to noise level and an Adaptive Modulation and Coding (AMC) scheme. The validation of the proposed cognitive radio application and the efficiency of the AMC and the spectrum sensing algorithms are shown through experiments and measurement results.
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