DART—a High Level Software-Defined Radio Platform Model for Developing the Run-Time Controller View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-12

AUTHORS

Martin Palkovic, Jeroen Declerck, Prabhat Avasare, Miguel Glassee, Andy Dewilde, Praveen Raghavan, Antoine Dejonghe, Liesbet Van der Perre

ABSTRACT

Novel cognitive radio platforms, such as IMEC’s COgnitive Baseband RAdio (COBRA), should ensure the feasibility of multiple streams and their reconfigurability and scalability during run-time. The control over these tasks should be dedicated to a run-time controller that (re)allocates the resources on the platform. E.g., when the channel conditions change requiring a switching to different modulation and coding scheme or a user starts a new stream. Current transaction level models are too detailed for rapid exploration of all run-time options and the high-level data-flow frameworks (such as Kahn process networks) lack the dynamism and reconfigurability that is essential for the exploration. In this paper we propose the DAtaflow for Run-Time (DART), the high-level dynamic data-flow platform model framework, suited for rapid run-time control development. We sketch how to use this framework to develop such a controller in the reactive and more challenging, proactive way. We derive the component timing based on Instruction Set Simulator (ISS) simulation and the reconfiguration timing based on Transaction Level Modeling (TLM) simulation. Finally, we verify results of our DART approach with full TLM simulation of our platform. More... »

PAGES

317-327

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11265-012-0669-3

DOI

http://dx.doi.org/10.1007/s11265-012-0669-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052575531


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