A Near-ML Decoding with Improved Complexity over Wider Ranges of SNR and System Dimension in MIMO Systems


In this letter, we aim to present a near-maximum-likelihood (ML) decoding algorithm with low-complexity for wider ranges of SNR and system dimension in multiple-input-multiple-output (MIMO) systems. Based on the proposed radius design criterion, we introduce the effective radius (ER) which is determined using the statistics of path metric under correct and… (More)
DOI: 10.1109/TWC.2011.110811.110471

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