PARAMETERIZED SETS OF DATAFLOW MODES AND THEIR APPLICATION TO IMPLEMENTATION OF COGNITIVE RADIO SYSTEMS

Abstract Cognitive radio networks present challenges at many levels of design, including configuration, control, and cross-layer optimization. To meet require-ments of bandwidth, flexibility and reconfigurability, systematic methods to model and analyze cognitive radio designs on signal processing platforms are desired. To help address these challenges, we present in this paper a novel dataflow modeling technique, called parameterized set of modes (PSM). PSMs allow efficient repre-sentation, manipulation and application of related groups of processing configura-tions for functional design components in signal processing systems. PSMs lead to more concise formulations of actor behavior, and a unified modeling methodology for applying a variety of techniques for efficient implementation. We develop the formal foundations of PSM-based modeling, and demonstrate its utility throug