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Many powerful data detection algorithms employed in multiple-input multiple-output (MIMO) communication systems, such as sphere decoding (SD) and lattice-reduction (LR)-aided detection, were initially designed for infinite lattices. Detection in MIMO systems is, however, based on finite lattices. In this paper, we systematically study the consequences of finite lattice-size for the performance and...
In this paper, we propose a computationally efficient precoding algorithm based on an iterative QRD-M for multiuser MIMO broadcast system. It has been shown that the iterative QRD-M algorithm can achieve near-ML performance with lower complexity at MIMO detection. Using depth first tree-search strategy, the first full expansion is tried by selecting the first level node with a minimum metric, constituting...
A new low complexity sphere decoding method for multiple-input multiple-output (MIMO) maximum-likelihood (ML) detection is proposed. One method that reduces the complexity of sphere decoding is the decoding order of MIMO sphere decoder using the soft-output signal of a suboptimum receiver as a reference. We refer to this method as ordered sphere decoder and we try to reduce its complexity. In order...
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