A Novel D-Metric for Blind Detection of Polar Codes
Yuqing Ren, Feng Shu, Liping Li, Zaichen Zhang, Xiaohu You, Chuan Zhang · 2018
As a known error-correcting code that has been proved to fully achieve the binary discrete memoryless channel (B-DMC) capacity, polar codes have been considered as a breakthrough in coding theory since its invention. In 2016, polar codes were selected by the 3GPP as the control channel codes for the enhance mobile broadband (eMBB) scenario. The related research of polar codes has been further pushed to the forefront of applications. In spite of the urgent practical needs, research on the algorithm design and efficient implementation of polar codes for control channels and Internet of Things (IoT) is still in infancy. This paper is to combine successful cancellation (SC) and simplified successful cancellation (SSC) decoders to propose a low-complexity algorithm that can realize blind detection of polar codes. Log-likelihood ratios (LLRs) of frozen bits are used to introduce a new metric D, which is to distinguish polar codes of different formats. The realization of blind detection of polar codes can avoid the receiver's executing complicated decoding algorithm for all polar code candidates, reducing the power, complexity, and delay.