Communication Patterns: a Novel Modeling Approach for Software Defined Radio Systems
Andrea Enrici, Ludovic Apvrille, Renaud Pacalet · 2014
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, com-munications 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. Keywords—Software defined radio; hardware/software code-sign; model-driven engineering I.