Efficient transmission and reception methods for future wireless communications systems

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Wireless personal communication has emerged as a key technology that dramatically impacts our society. Wireless cellular and local area networks are currently experiencing significant growth driven by a strong market interest for highly mobile, widely accessible, multimedia communications. To address the ever-increasing consumer needs and demands, current research on wireless communications strives to: (i) Increase Capacity (i.e., increase number of mobile clients in a given geographical area); (ii) Reduce complexity (both hardware and software); (iii) Improve performance through intelligent processing at the receiver and/or transmitter. The short and long-term growth of consumer-based mobile and portable communication systems is tied closely to the achievement of the above four objectives.This research focuses on the investigation of new algorithms that achieve the previously mentioned goals. Special emphasis  is given in the development of algorithms that exhibit improved performance in realistic wireless communications environments. More specifically, this research focuses on the design and analysis of low-complexity reception and highly accurate parameter estimation algorithms, specifically for realistic non-stationary wireless environments where, due to rapid changes in the user population and the physical characteristics of the environment, the size of the data record available for receiver adaptation and parameter estimation is limited.