A Mixed-mode Vector-based dataflow approach for modeling and simulating LTE physical layer

Long Term Evolution (LTE) is one of the emerging technologies toward 4th generation mobile wireless networks. For LTE physical layer development, electronic system level (ESL) tools are widely used to assist design and verification processes. Among various modeling technologies underlying ESL tools,...

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Veröffentlicht in:Design Automation Conference S. 18 - 23
Hauptverfasser: Chia-Jui Hsu, Pino, José Luis, Fei-Jiang Hu
Format: Tagungsbericht
Sprache:Englisch
Japanisch
Veröffentlicht: IEEE 13.06.2010
Schlagworte:
Algorithm design and analysis
Computational modeling
Data processing
Design methodology
Digital signal processing
Long Term Evolution
LTE physical layer
Mixed-mode dataflow
Permission
Physical layer
Radio frequency
Wireless networks
ISBN:9781424466771, 1424466776
ISSN:0738-100X
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:Long Term Evolution (LTE) is one of the emerging technologies toward 4th generation mobile wireless networks. For LTE physical layer development, electronic system level (ESL) tools are widely used to assist design and verification processes. Among various modeling technologies underlying ESL tools, synchronous dataflow (SDF) and its related models of computation have been successfully used to model and simulate many wireless standards. However, LTE physical layer involves dynamically varying data processing rates that make SDF insufficient due to its constant-rate constraint. In this paper, we present a novel approach, called Mixed-mode Vector-based Dataflow (MVDF), to efficiently model and simulate LTE physical layer by exploring the matched-rate nature of LTE and by combining static and dynamic dataflow technologies. We have implemented MVDF in an ESL tool, called SystemVue, along with a complete LTE physical layer library. With the implementation, we are able to create LTE reference designs for performance measurements. Our simulation results successfully match the standard requirements and justify the capability of MVDF.
ISBN:9781424466771
1424466776
ISSN:0738-100X
DOI:10.1145/1837274.1837282