Abstract-- We explore the performance and hardware complexity tradeoffs associated with performing iterative multipleinput multiple-output (MIMO) detection using a sphere decoder a...
Motivated by the need for high throughput sphere decoding for multipleinput-multiple-output (MIMO) communication systems, we propose a parallel depth-first sphere decoding (PDSD)...
— Sphere decoding enables maximum likelihood (ML) detection with fairly low complexity in the MIMO wireless systems, but it takes hundreds cycles at low SNR environment. This pap...
Soft-input soft-output (SISO) detection algorithms form the basis for iterative decoding. The computational complexity of SISO detection often poses significant challenges for prac...
: - Suboptimal detectors of multiple-input multiple-output (MIMO) have been studied because the implementation of the optimum detector, the maximum-likelihood (ML) detector, has so...