Note: This tutorial has been cancelled.
H. Arslan
Today’s wireless services have come a long way since the rollout of the conventional voice centric cellular systems. The demand for wireless access in voice and high data rate multi-media applications has been increasing. New generation wireless communication systems are aimed at accommodating this demand through better resource management and improved transmission technologies. Adaptive methods are becoming popular for optimizing mobile radio system transmission and reception at the physical layer as well as at the higher layers of the protocol stack. The interest in increasing the Spectrum Access and improving the Spectrum Efficiency combined with both the introduction of Software Defined Radios and the realization of the idea that machine learning can be applied to radios has created new intriguing possibilities for wireless radio researchers. This tutorial targets cognitive radio, software defined radio, and adaptive radio concepts from several aspects. Adaptive resource management, adaptive transmission technologies, and receiver adaptation techniques for the evolution of wireless communication systems will be reviewed. The enabling techniques for these adaptations that require sensing and measurements of some radio and interference parameters, like Doppler spread estimation, link quality estimation, signal-to-noise ratio estimation, interference temperature measurement, post-processing channel quality estimations (CRC estimation, Bit-error-rate estimation, frame erasure rate estimation) etc., will be covered.
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