Flexible soft-output decoding of polar codes

Abstract In this research, we study soft-output decoding of polar codes. Two representative algorithms are belief propagation (BP) and soft cancellation (SCAN). The BP algorithm has low latency but suffers from high computational complexity. On the other hand, SCAN algorithm, which is proposed for reduced complexity decoding, achieves good performance long latency. These two suitable only extreme cases that need very (but with complexity) or latency). However, many practical systems may to work moderate (i.e., not too rather than extremes. To adapt various needs systems, propose a flexible framework Depending on system requirement most crucial, scheme can by controlling level parallelism. Numerical results demonstrate effectively requirements changing