Institute of Electrical & Electronic Engineers
The Fixed-complexity Sphere Decoder (FSD) has been proposed to attain the near-optimal performance achieving the same diversity order as the Maximum-Likelihood Decoder (MLD) recently. However, it suffers great redundant computations resulting in high power consumption. In this paper, the authors conduct an improved algorithm for the original FSD by using Early Termination (ET). This algorithm (abbreviated as ET-FSD) preserves the advantages of Sphere Decoder (SD) such as branch pruning and an adaptively updated pruning threshold. They compare the ET-FSD with the original FSD and a lately developed Statistical Threshold-based FSD (ST-FSD).