论文信息 - An Efficient Statistical Pruning Algorithm for Fixed-Complexity Sphere Decoder

An Efficient Statistical Pruning Algorithm for Fixed-Complexity Sphere Decoder

We create an efficient statistical pruning (SP) algorithm for fixed-complexity sphere decoder (FSD) by utilizing partial decision feedback detection (i.e., SP-FSD). Simulation results show that SP-FSD not only attains the near-optimal performance, but also achieves much lower complexity than the original FSD and its two lately-developed variants: the simplified FSD (SFSD) and the statistical threshold-based FSD (ST-FSD).

Cong Xiong | Dacheng Yang | Sheng Lei | Xin Zhang

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