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Parameterized core functional dataflow graphs and their application to design and implementation of wireless communication systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication2013 IEEE Workshop on Signal Processing Systems, SiPS 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Print)9781467362382
Publication statusPublished - 2013
Publication typeA4 Article in a conference publication
Event2013 IEEE Workshop on Signal Processing Systems, SiPS 2013 - Taipei, Taiwan, Province of China
Duration: 16 Oct 201318 Oct 2013

Conference

Conference2013 IEEE Workshop on Signal Processing Systems, SiPS 2013
CountryTaiwan, Province of China
CityTaipei
Period16/10/1318/10/13

Abstract

Due to the increased complexity of dynamics in modern DSP applications, dataflow-based design methodologies require significant enhancements in modeling and scheduling techniques to provide for efficient and flexible handling of dynamic behavior. In this paper, we address this problem through a new framework that is based on integrating two complementary modeling techniques, core functional dataflow (CFDF) and parameterized synchronous dataflow (PSDF). We apply, in a systematically integrated way, the structured mode-based dynamic dataflow modeling capability of CFDF together with the features of PSDF for dynamic parameter reconfiguration and quasi-static scheduling. We refer to this integrated methodology for mode - and dynamic-parameter - based modeling and scheduling as core functional parameterized synchronous dataflow (CF-PSDF). Through a wireless communication case study involving MIMO detection, we demonstrate the utility of design and implementation using CF-PSDF graphs. Experimental results on this case study demonstrate the efficiency and flexibility of our proposed new CF-PSDF based design methodology.

Keywords

  • Dataflow graph, Dynamic scheduling, MIMO detector, Parameterized modeling