Flexible Signal Processing Algorithms for Wireless

Wireless communications systems of the future will experience more dynamic channel conditions and a wider range of application requirements than systems of today. Such systems will require flexible signal processing algorithms that can exploit wireless channel conditions and knowledge of end-to-end user requirements to provide efficient communications services. In this thesis, we investigate wireless communications systems in which the sig-nal processing algorithms are specifically designed to provide efficient and flexible end-to-end functionality. We describe a design approach for flexible algorithms that begins with the identification of specific modes of flexibility that enable efficient over-all system operation. The approach then uses explicit knowledge of the relationships between the input and output samples to develop efficient algorithms that provide the desired flexible behavior. Using this approach, we have designed a suite of novel algo-rithms for essential physical layer functions. These algorithms provide both dynamic functionality and efficient computational performance