Tampere University of Technology

TUTCRIS Research Portal

Parameterized Sets of Dataflow Modes And Their Application to Implementation of Cognitive Radio Systems

Research output: Contribution to journalArticleScientificpeer-review

Details

Original languageEnglish
Pages (from-to)3-18
Number of pages16
JournalJournal of Signal Processing Systems
Volume80
Issue number1
DOIs
Publication statusPublished - 2015
Publication typeA1 Journal article-refereed

Abstract

Cognitive radio networks present challenges at many levels of design, including configuration, control, and cross-layer optimization. To meet requirements 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 representation, manipulation and application of related groups of processing configurations 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 through two case studies involving the mapping of reconfigurable wireless communication functionality into efficient implementations.

Publication forum classification