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Communication Patterns: a Novel Modeling Approach for Software Defined Radio Systems

Andrea Enrici 1, 2 Ludovic Apvrille 1, 2 Renaud Pacalet 1, 2
1 LabSoC - System on Chip
LTCI - Laboratoire Traitement et Communication de l'Information
Abstract : Efficiently programming Software Defined Radio applications still remains a pending challenge. While most of the efforts are focused on the processing part of a design, communications are a great source of performance and portability issues that is often neglected. Within the frame of a Model Driven Engineering methodology for the design of dataflow processing applications, this paper proposes a novel approach to model complex communication interactions. This approach relies on communication patterns to capture communication protocols and standards at system-level, independently of computations. A case study for cognitive radio shows how communication patterns are efficiently used to generate cross-platform models that can be ported and refined to specific applications and architectures.
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Submitted on : Saturday, September 14, 2019 - 6:45:50 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:54 PM


  • HAL Id : hal-02288394, version 1


Andrea Enrici, Ludovic Apvrille, Renaud Pacalet. Communication Patterns: a Novel Modeling Approach for Software Defined Radio Systems. The Fourth International Conference on Advances in Cognitive Radio (COCORA'2014), Feb 2014, Nice, France. ⟨hal-02288394⟩



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