Abstract | ||
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Today's smartphones and tablets contain multiple cellular modems to support 2G/3G/4G standards, including Long Term Evolution (LTE). They run on complex multi-processor hardware platforms and have to meet hard real-time constraints. Dataflow modeling can be used to design an LTE receiver. Static dataflow allows a rich set of analysis techniques, but is too restrictive to model the dynamic behavior in many realistic applications, including LTE receivers. Dynamic dataflow allows modeling of many realistic applications, but does not support rigorous temporal analysis. Mode-Controlled Dataflow (MCDF) is a restricted form of dynamic dataflow, and allows the same analysis techniques as static dataflow, in principle. We prove that MCDF is sufficiently expressive to handle the dynamic behavior of a realistic LTE receiver, by systematically and stepwise developing a complete MCDF model for an LTE receiver. |
Year | DOI | Venue |
---|---|---|
2014 | 10.7873/DATE.2014.225 | DATE |
Keywords | Field | DocType |
4G mobile communication,Long Term Evolution,cellular radio,modems,radio receivers,4G-LTE receiver,LTE receiver,Long Term Evolution,MCDF model,Static dataflow,analysis techniques,complex multiprocessor hardware platforms,mode-controlled dataflow,mode-controlled dataflow based analysis,mode-controlled dataflow based modeling,smartphones,support 2G/3G/4G standards,tablets,temporal analysis | Dataflow architecture,Cellular radio,Computer science,Parallel computing,Real-time computing,Dataflow,Radio receiver,Embedded system | Conference |
ISSN | Citations | PageRank |
1530-1591 | 6 | 0.56 |
References | Authors | |
5 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hrishikesh Salunkhe | 1 | 11 | 2.39 |
Orlando Moreira | 2 | 14 | 3.47 |
Kees Van Berkel | 3 | 431 | 71.17 |