Iterative MIMO Decoding: Algorithms and VLSI Implementation Aspects

Authors

Christoph Studer

Reference

Ph.D. dissertation, ETH Zurich, Switzerland, Series in Microelectronics, vol. 202, Hartung-Gorre Verlag Konstanz, June 2009.

[BibTeX, LaTeX, and HTML Reference]

Abstract

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 improve 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 soft-output (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.

Keywords

Iterative MIMO decoding, Sphere Decoding, MMSE, VLSI

Download this document:

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.