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Convergence and Density Evolution of a MIMO Detector Based on a Forward?Backward Recursion Over a Ring.
- Source :
- IEEE Transactions on Vehicular Technology; Aug2017, Vol. 66 Issue 8, p6764-6774, 11p
- Publication Year :
- 2017
-
Abstract
- Convergence and density evolution of a low-complexity iterative multiple-input multiple-output detection based on belief propagation over a ring-type pairwise graph are presented for binary data. The detection algorithm to be considered is effectively a forward–backward recursion and was originally proposed by Yoon and Chae in a work published in 2014, in which link-level performance, computational complexity, and convergence for Gaussian input were analyzed in detail. This paper presents the convergence proof and the density evolution framework for binary input to give an asymptotic performance in terms of average signal-to-interference-plus-noise ratio and bit error rate (BER) without channel coding. The BER curve obtained via density evolution shows a good match with the simulation results for uncoded BER in the paper by Yoon and Chae verifying the effectiveness of the analysis provided and the performance of the detection algorithm. [ABSTRACT FROM AUTHOR]
- Subjects :
- MIMO systems
DETECTORS
PHYSICS instruments
ERROR rates
WIRELESS communications
Subjects
Details
- Language :
- English
- ISSN :
- 00189545
- Volume :
- 66
- Issue :
- 8
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Vehicular Technology
- Publication Type :
- Academic Journal
- Accession number :
- 124750502
- Full Text :
- https://doi.org/10.1109/TVT.2017.2650685