Rate optimization for IDMA systems with iterative joint multi-user decoding
IEEE Transactions on Wireless Communications
Iterative decoding for superposition modulation-based cooperative transmission
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
Rate optimization for IDMA systems with iterative multi-user decoding
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Performance of iterative decoding for superposition modulation-based cooperative transmission
IEEE Transactions on Wireless Communications
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In this letter, we propose a new multi-stage LLR combining (MLC) algorithm in an iterative receiver for MIMOBICM systems. This algorithm combines the soft information from different receive antennas in a multi-stage fashion, where the combining factors are derived based on the joint likelihood function of bivariate Gaussian random variables. The variance transfer (VT) function of the proposed scheme is derived for performance analysis. For slow fading channels, we show that the proposed MLC algorithm can achieve almost the same performance as the linear minimum mean square error (LMMSE) filtering approach, whereas the computation-demanding matrix inverse for LMMSE can be avoided.