Adaptive Fast Simplified Successive Cancellation List Polar Decoding based on Path Selecting
Ling Wang, Zhizhong Zhang, Haonan Hu · 2020
5G is designed for high reliability and low latency massive data interaction scenarios. Compared with 4G mobile communication, it puts forward higher requirements for channel decoding. To improve the error correction performance and reduce delay, some improved simplified successive-cancellation list (SSCL) have been proposed in the past. The fast SSCL exploits some special constituent nodes and gives the bound of path splitting to reduce the required number of time-steps. In this paper, an adaptive path selecting strategy based on path metric (PM) is proposed, which induces the sorting complexity and tightens the exact bound of path splitting of the fast SSCL. Simulation results show that, the proposed scheme has lower complexity and higher efficiency than SCL without any performance loss. Also, compare to the empirical Fast-SCL, it shows better error correction performance. Moreover, the proposed scheme outperforms existing adaptive decoding algorithms, avoiding any priori information as a threshold stored in memory.