Stochastic Iterative MIMO Detection System: Algorithm and Hardware Design

In this paper, we propose a Stochastic iterative multiple-input multiple-output (SIM) detection system based on the Markov chain Monte Carlo (MCMC) method. To improve the detection performance, the Gibbs sampler of the MCMC detector in the SIM is updated by the decoded bits from a channel decoder di...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems. I, Regular papers Vol. 62; no. 4; pp. 1205 - 1214
Main Authors: Jienan Chen, Jianhao Hu, Sobelman, Gerald E.
Format: Journal Article
Language:English
Published: New York IEEE 01.04.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Bayesian analysis
Decoding
Detectors
Hardware
Iterative decoding
Logic gates
Markov analysis
Markov chain Monte Carlo (MCMC)
MIMO
Monte Carlo simulation
multiple-input multiple-output (MIMO) system
stochastic iterative MIMO (SIM)
stochastic logic
Throughput
ISSN:1549-8328, 1558-0806
Online Access:Get full text
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Summary:In this paper, we propose a Stochastic iterative multiple-input multiple-output (SIM) detection system based on the Markov chain Monte Carlo (MCMC) method. To improve the detection performance, the Gibbs sampler of the MCMC detector in the SIM is updated by the decoded bits from a channel decoder directly. The channel decoder is part of the updating unit that generates the new samples in the MCMC updating process. We also implement the SIM in a fully parallel scheme, which achieves a high detection speed. As a case study, we have designed and synthesized a 128-parallel 4 × 4 16-QAM SIM system using a CMOS 130 nm technology with a core area of 1.98 mm 2 and 457K logic gates. The SIM detection system can achieve a throughput of 787.5Mbps with a frame error rate (FER) 10 -3 at E b /N 0 =7dB, equaling the FER of a traditional iterative MIMO detection with four outer iterations.
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ISSN:1549-8328
1558-0806
DOI:10.1109/TCSI.2015.2390558