Inh.: Dr. Renate Gorre
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Series in Microelectronics
edited by Wolfgang Fichtner
Iterative MIMO Decoding:
Algorithms and VLSI
2009, XVIII,260 pages, € 64,00.
The key requirements of modern wireless communication systems are throughput, coverage, and range. Multiple-input multiple-output (MIMO) wireless technology in combination with iterative MIMO decoding is one of the most promising methods to imprave these requirements without sacrificing spectral efficiency or increasing the transmit power. This dissertation focuses on the design and optimization of algorithms for iterative MIMO decoding and presents corresponding VLSI implementations. The main contributions of this work are the development and implementation of novel low-complexity and high-performance soft-input softoutput (SISO) detection algorithms for MIMO systems based on parallel Interference cancellation and on sphere decoding. In addition, implementation results for SISO decoding of convolutional, LDPC. and turbo codes are presented. The algorithms and circuits provided in this work give reference for the performance and the silicon complexity associated with iterative MIMO decoding.
About the Author:
Christoph Studer was born in Switzerland in 1979. He received the MSc degree in electrical engineering fram the Eidgenössische Technische Hochschule (ETH) Zurich, Switzerland in 2005. In the same year, he was a Visiting Researcher with the Smart Antennas Research Group at Stanford University. Since 2006, he has been a Research Assistant with the Integrated Systems Laboratory and the Communication Technology Laboratory at ETH Zurich.
Keywords: MIMO, OFDM, Detektion, Decodierung, VLSI.
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Hartung-Gorre Verlag / D-78465 Konstanz / Germany