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Documents authored by Wehn, Norbert

Document
DOI: 10.4230/DagSemProc.06141.3
A Reconfigurable Outer Modem Platform for Future Communications Systems

Authors: Norbert Wehn, Timo Vogt, and Christian Neeb

Published in: Dagstuhl Seminar Proceedings, Volume 6141, Dynamically Reconfigurable Architectures (2006)

Abstract
Future mobile and wireless communications networks require flexible modem architectures with high performance. Efficient utilization of application specific flexibility is key to fulfill these requirements. For high throughput a single processor can not provide the necessary computational power. Hence multi-processor architectures become necessary. This paper presents a multi-processor platform based on a new dynamically reconfigurable application specific instruction set processor (dr-ASIP) for the application domain of channel decoding. Inherently parallel decoding tasks can be mapped onto individual processing nodes. The implied challenging inter-processor communication is efficiently handled by a Network-on-Chip (NoC) such that the throughput of each node is not degraded. The dr-ASIP features Viterbi and Log-MAP decoding for support of convolutional and turbo codes of more than 10 currently specified mobile and wireless standards. Furthermore, its flexibility allows for adaptation to future systems.
Cite as

Norbert Wehn, Timo Vogt, and Christian Neeb. A Reconfigurable Outer Modem Platform for Future Communications Systems. In Dynamically Reconfigurable Architectures. Dagstuhl Seminar Proceedings, Volume 6141, pp. 1-11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{wehn_et_al:DagSemProc.06141.3,
  author =	{Wehn, Norbert and Vogt, Timo and Neeb, Christian},
  title =	{{A Reconfigurable Outer Modem Platform for Future Communications Systems}},
  booktitle =	{Dynamically Reconfigurable Architectures},
  pages =	{1--11},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{6141},
  editor =	{Peter M. Athanas and J\"{u}rgen Becker and Gordon Brebner and J\"{u}rgen Teich},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.06141.3},
  URN =		{urn:nbn:de:0030-drops-7306},
  doi =		{10.4230/DagSemProc.06141.3},
  annote =	{Keywords: Domain-specific reconfigurable platform, channel coding, outer-modem}
}
Document
DOI: 10.4230/DagSemProc.05141.8
Power Optimization in advanced Channel Coding

Authors: Norbert Wehn

Published in: Dagstuhl Seminar Proceedings, Volume 5141, Power-aware Computing Systems (2005)

Abstract
Channel Coding is an important building block in the outer modem of baseband processing of wireless communication systems. Turbo-Codes and LDPC codes are the most efficient coding techniques known today. They are already in use of many standards e.g. UMTS, DVB and in discussion for emerging standards e.g. WLAN. The implementation of these coding techniques implies many challenges. In this talk we will discuss some of these challenges and will put special emphasis on low power implementations.
Cite as

Norbert Wehn. Power Optimization in advanced Channel Coding. In Power-aware Computing Systems. Dagstuhl Seminar Proceedings, Volume 5141, pp. 1-4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)

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@InProceedings{wehn:DagSemProc.05141.8,
  author =	{Wehn, Norbert},
  title =	{{Power Optimization in advanced Channel Coding}},
  booktitle =	{Power-aware Computing Systems},
  pages =	{1--4},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5141},
  editor =	{Luca Benini and Ulrich Kremer and Christian W. Probst and Peter Schelkens},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05141.8},
  URN =		{urn:nbn:de:0030-drops-3070},
  doi =		{10.4230/DagSemProc.05141.8},
  annote =	{Keywords: Wireless communication, channel coding, low power}
}
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