Low-Complexity Hybrid QRD-MCMC MIMO Detection

    •  Peng, R., Teo, K.H., Zhang, J., Chen, R.-R., "Low-Complexity Hybrid QRD-MCMC MIMO Detection", IEEE Global Telecommunications Conference (GLOBECOM), November 2008.
      BibTeX TR2008-086 PDF
      • @inproceedings{Peng2008nov,
      • author = {Peng, R. and Teo, K.H. and Zhang, J. and Chen, R.-R.},
      • title = {Low-Complexity Hybrid QRD-MCMC MIMO Detection},
      • booktitle = {IEEE Global Telecommunications Conference (GLOBECOM)},
      • year = 2008,
      • month = nov,
      • issn = {1930-529X},
      • url = {}
      • }
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In this paper, we propose a novel hybrid QRD-MCMC MIMO detector that combines the feature of a QRD-M detector and a Markov chain Monte Carlo (MCMC) detector. The QRD-M algorithm is applied first to obtain initial estimates of the transmitted signal vector. Subsequently, the QRD-M estimate is used to initialize one of the Gibbs samplers for MCMC detection. The MCMC detection reduces the M parameter required by the QRD-M detector, while the QRD-M initialization effectively alleviates the well-known high-SNR problem in existing MCMC detectors. Performance of the QRD-M/MCMC detector is examined under both an idealized MIMO channel with perfect channel side information (CSI) and a practical IEEE 802.16e MIMO-OFDMA system with imperfect CSI. Numerical results show that, compared to the stand-alone QRD-M or MCMC detectors, the QRD-MCMC detector achieves superior performance at a reduced complexity.


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