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Architectural Optimizations for Low-Power K-Best MIMO Decoders.
- Source :
-
IEEE Transactions on Vehicular Technology . Sep2009, Vol. 58 Issue 7, p3145-3153. 9p. 3 Black and White Photographs, 1 Diagram, 3 Charts, 5 Graphs. - Publication Year :
- 2009
-
Abstract
- Maximum-likelihood (ML) detection for higher order multiple-input-multiple-output (MIMO) systems faces a major challenge in computational complexity. This limits the practicality of these systems from an implementation point of view, particularly for mobile battery-operated devices. In this paper, we propose a modified approach for MIMO detection, which takes advantage of the quadratic-amplitude modulation (QAM) constellation structure to accelerate the detection procedure. This approach achieves low-power operation by extending the minimum number of paths and reducing the number of required computations for each path extension, which results in an order-of-magnitude reduction in computations in comparison with existing algorithms. This paper also describes the very-large-scale integration (VLSI) design of the low-power path metric computation unit. The approach is applied to a 4 x 4, 64-QAM MIMO detector system. Results show negligible performance degradation compared with conventional algorithms while reducing the complexity by more than 50%. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00189545
- Volume :
- 58
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Vehicular Technology
- Publication Type :
- Academic Journal
- Accession number :
- 44346413
- Full Text :
- https://doi.org/10.1109/TVT.2009.2017548