AG Kommunikationstheorie

Thema:

Knowledge-aided signal processing in wireless communications: an idea whose time has come

Abstract:

In this talk, we present a framework for exploiting prior knowledge to improve several aspects of signal processing algorithms in wireless communications networks. We start the talk with a classification of the types of prior information that could be used and how to model this information to obtain performance advantages and a reduction of computational cost and energy consumption. We look at several design problems in wireless communications and show examples of how the exploitation of prior information could be beneficial to the systems under considerations. We also discuss a general theory of knowledge-aided signal processing and how it could be used in several areas including statistical signal processing, sensor and adaptive array signal processing and distributed signal processing. Examples of knowledge-aided techniques will be considered for detection, parameter estimation and decoding algorithms, and their applications to wireless networks.



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