Extrinsic versus a Posteriori Probability based iterative LMMSE-IC algorithms for coded MIMO communications: Performance and analysis

Abstract : Several studies dealing with iterative Linear Minimum Mean Square Error Interference Cancellation (LMMSEIC) algorithms have concluded that better performances are obtained when soft interference cancellation is performed using Log a Posteriori Probability Ratios (LAPPRs) on coded bits rather than Log Extrinsic Probability Ratios (LEXTPRs) on coded bits. While LMMSE-IC can be rigorously derived and analyzed when it is based on LEXTPRs, things become more complicated when it relies on LAPPRs. The aim of this paper is twofold: (1) Emphasize the underlying assumptions needed for the derivation of (iterative) LAPPR based LMMSE-IC, (2) Propose an improved performance prediction method (or physical layer abstraction) robust when these assumptions do not hold. The latter contribution is a cornerstone for cross-layer design and optimization in presence of advanced turbo receivers in 3GPP.
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Submitted on : Wednesday, November 7, 2012 - 12:02:08 PM
Last modification on : Friday, October 26, 2018 - 2:26:04 PM

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Baozhu Ning, Raphaël Visoz, Antoine O. Berthet. Extrinsic versus a Posteriori Probability based iterative LMMSE-IC algorithms for coded MIMO communications: Performance and analysis. 2012 International Symposium on Wireless Communication Systems (ISWCS), Aug 2012, Paris, France. pp.386 - 390, ⟨10.1109/ISWCS.2012.6328395⟩. ⟨hal-00749341⟩

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