An adaptive partial parallel multistage detection for MIMO systems

Shu Ming Tseng; Hsin Lung Lee

doi:10.1109/TCOMM.2005.844970

An adaptive partial parallel multistage detection for MIMO systems

Shu Ming Tseng^*, Hsin Lung Lee

^*Corresponding author for this work

Research output: Contribution to journal › Journal Article › peer-review

14 Scopus citations

Abstract

The full parallel multistage detection for multiple-input multiple-output systems has less processing delay and better performance than the vertical Bell Laboratories layered space-time detection scheme. However, due to the disadvantage of full parallel interference cancellation, its performance degrades when the received power of the substreams at one receiving antenna is unbalanced and/or when the system is heavily loaded. Therefore, we introduce adaptive partial weighting coefficients into the parallel multistage detection. The weighting coefficients are evaluated using the average decision correct probabilities in the previous stage. The simulation results show that the uncoded error probability of the proposed method is lower than that of the recently proposed full parallel multistage detection scheme with perfect or imperfect channel estimation.

Original language	English
Pages (from-to)	587-591
Number of pages	5
Journal	IEEE Transactions on Communications
Volume	53
Issue number	4
DOIs	https://doi.org/10.1109/TCOMM.2005.844970
State	Published - 04 2005
Externally published	Yes

Keywords

Average decision correct probabilities
Multiple-input multiple-output (MIMO) systems
Reliability information

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10.1109/TCOMM.2005.844970

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abstract = "The full parallel multistage detection for multiple-input multiple-output systems has less processing delay and better performance than the vertical Bell Laboratories layered space-time detection scheme. However, due to the disadvantage of full parallel interference cancellation, its performance degrades when the received power of the substreams at one receiving antenna is unbalanced and/or when the system is heavily loaded. Therefore, we introduce adaptive partial weighting coefficients into the parallel multistage detection. The weighting coefficients are evaluated using the average decision correct probabilities in the previous stage. The simulation results show that the uncoded error probability of the proposed method is lower than that of the recently proposed full parallel multistage detection scheme with perfect or imperfect channel estimation.",

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AB - The full parallel multistage detection for multiple-input multiple-output systems has less processing delay and better performance than the vertical Bell Laboratories layered space-time detection scheme. However, due to the disadvantage of full parallel interference cancellation, its performance degrades when the received power of the substreams at one receiving antenna is unbalanced and/or when the system is heavily loaded. Therefore, we introduce adaptive partial weighting coefficients into the parallel multistage detection. The weighting coefficients are evaluated using the average decision correct probabilities in the previous stage. The simulation results show that the uncoded error probability of the proposed method is lower than that of the recently proposed full parallel multistage detection scheme with perfect or imperfect channel estimation.

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An adaptive partial parallel multistage detection for MIMO systems

Abstract

Keywords

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