Intelligent Signal Processing Algorithms for Future Wireless Communications Systems

点击翻译按钮获取中文摘要

Wireless communication technologies are at a pivotal point in their development as they move from supporting person-to-person voice communications to enabling person-to-person and machine-to-machine high rate data communications. As a result, the future will see a proliferation of wireless networks of varying architectures that support a multitude of services in a wide range of operating environments. This will be a particularly challenging environment for wireless devices to operate in. The radio spectrum will be flooded with transmissions that each device will have to sift in order to isolate the data intended for it, under strict power and complexity constraints imposed by the small size and low cost of wireless devices. The goal of the proposed research program is to support wireless communications in challenging environments through advances in physical layer design. More specifically, our objective is to develop a framework for the design, analysis and implementation of adaptive receiver algorithms that: 1. Addresses explicitly the fact that realistic wireless environments are non-stationary due to rapid changes in their physical characteristics and user population and, therefore, severely limit the amount of data available for receiver adaptation. 2. Permits low-complexity implementations that satisfy the strict size and power-consumption limitations of mobile devices.