Series in Microelectronics

edited by        Wolfgang Fichtner
                        Qiuting Huang
                        Heinz Jäckel
                        Gerhard Tröster
                        Bernd Witzigmann

Vol. 209


Christian Benkeser,

Power Efficiency and the Mapping
of Communication Algorithms into VLSI

2010. XII, 178 pages. € 64,00.
ISBN 3-86628-323-7 and 978-3-86628-323-7


TOC of book


To satisfy the growing demands of today’s information society, hardware solutions have to process complex algorithms at high data rates. The key enabler for the required computational power has been the great and continuous progress in CMOS technology. However, in digital circuits implemented in recent deep submicron CMOS technologies power consumption has become a major bottleneck.

This work explores the potential of improving the power efficiency of digital circuits using optimizations at the algorithmic and architectural level. To this end, the impact of the algorithm characteristics on architectural complexity is investigated and high-level, low-power design techniques are discussed. To demonstrate the effectiveness of the proposed methods power-efficient ASIC implementations solving the major challenges of the digital baseband in 2G, 3G and 4G cellular systems have been realized, with a focus on turbo decoding and channel equalization.


About the Author


Christian Benkeser was born in Bühl/Baden, Germany, in 1977. He received his M.S. degree in Electronical Engineering from the University of Karlsruhe (TH), Germany, in 2004. In the same year, he joined the Integrated Systems Laboratory (IIS) of the Swiss Federal Institute of Technology (ETH) Zurich where he worked as a research and teaching assistant in the area of circuits and systems for wireless communications. In 2009, he was awarded the Dr. Sc. (Ph. D.) degree by the ETH Zurich.


Short TOC


1 Introduction

1.1 Recent Trends in Mobile


1.2 Contributions

1.3 Outline of the Thesis

2 Design Space Exploration

2.1 Terminology

2.2 High-level criteria for complexity

2.3 Implementation-related Algorithm Characteristics

2.4 Metrics for comparing Architecture Complexity

2.5 Evaluation of Hardware Platforms

2.6 Digital Design for Low Power

2.7 Summary

3 Turbo Decoder Design and Optimization

3.1 Turbo Coding

3.2 High-Level Architecture Exploration

3.3 Optimized SISO Decoder Design

3.4 Implementation of a 3GPP Interleaver

3.5 Turbo Decoder Implementations

3.6 Summary

4 Digital Receiver Design for the GSM Evolution

4.1 System Overview

4.2 Equalizer Concepts for EGPRS

4.3 Exploration of Channel Equalization

4.4 Low-Complexity Pre-filter

4.5 Efficient DDFSE Implementation

4.6 VLSI Implementations and Comparison

4.7 Summary

5 Summary and Conclusion

A Chip photos

B GSM Test Channels

C GSM Pulses




Keywords: low-power, IC design, CMOS, receiver, wireless, communication, baseband, turbo decoder, equalizer.

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