Adaptive transmission construction based on polar codes

Abstract

In actual communication scenarios, wireless transmission channels have the nature of heterogeneity. In order to ensure that data can be transmitted with high reliability and low delay, this paper designs a quasi-optimal polar code that can adapt to various channel environments, which called Q-polar code. Based on the polarization theory of polar codes and the channel state information (CSI), the index set of polar codes is designed and constructed to perform data transmission tasks. The simulation results show that the bit error rate (BER) performance of proposed scheme can be improved compared with traditional polar code, especially when the code length N is small and the code rate is large.

Design of adaptive fast cyclic redundancy check aided successive cancellation list decoding algorithm

“…This section compares the transmission delay d T when the bit error performance is the same, and it is the total time of the basic operation (unit: s), the coding part is exactly the same, the difference is in the decoding end. The simulation conditions were the same as those in section 4.1, and note that the polar codes corresponding to the three decoding algorithms all adopt the adaptive architecture proposed in reference [13] . Table 1 shows that when BER is the same among the three decoding algorithms, ALF-CA-SCL takes the least time, followed by fast CA-SCL, and CA-SCL takes the most time.…”