Performance comparison of systematic polar code and non-systematic polar code

被引：0
|
作者：
Li H. [1 ,2 ]
Ye M. [1 ,2 ]
Tong Q. [1 ]
Cheng J. [1 ,2 ]
Wang L. [1 ,2 ]
机构：
[1] College of Information Science and Technology, Hainan University, Haikou
[2] Engineering Research Center of Marine Communication and Networks in Hainan Province, Haikou
来源：
Tongxin Xuebao/Journal on Communications | 2019年 / 40卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Bit error rate; Performance comparison; Successive cancellation decoding; Systematic polar code;
D O I：
10.11959/j.issn.1000-436x.2019147
中图分类号：
学科分类号：
摘要：
Polar code in channel coding schemes is a research hotspot in 5G communication field. Polar code is susceptible to error propagation under successive cancellation decoding, and the performance of the code at short and medium block lengths is not ideal. For the problems, the performance difference between systematic polar code and non-systematic polar code was studied under various simulation conditions. Simulation results demonstrate that systematic polar code has advantage over non-systematic polar code in bit error rate performance, and the former are more robust against error propagation than the latter under successive cancellation decoding. The above results are considerable importance from the theoretical values in 5G communication and performance optimization of polar code. © 2019, Editorial Board of Journal on Communications. All right reserved.
引用
收藏
页码：203 / 209
页数：6
相关论文
共 22 条
  • [1] Sharma A., Salim M., Polar code: the channel code contender for 5G scenarios, International Conference on Computer, Communications and Electronics, pp. 676-682, (2017)
  • [2] Wang W., Li L., Efficient construction of polar codes, The 13th International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 1594-1598, (2017)
  • [3] Arikan E., Channel polarization: a method for constructing capacity achieving codes for symmetric binary-input memoryless channels, IEEE Transaction Information Theory, 55, 7, pp. 3051-3073, (2009)
  • [4] Arikan E., Systematic polar codes, IEEE Communications Letters, 15, 8, pp. 860-862, (2011)
  • [5] Vangala H., Hong Y., Viterbo E., Efficient algorithms for systematic polar encoding, IEEE Communications Letters, 20, 1, pp. 17-20, (2016)
  • [6] Chen G.T., Zhang Z.Y., Zhong C.J., Et al., A low complexity encoding algorithm for systematic polar codes, IEEE Communications Letters, 20, 7, pp. 1277-1280, (2016)
  • [7] Hu M., Li J.P., Lu Y.S., A comparative study of polar code decoding algorithms, The 3rd Information Technology and Mechatronics Engineering Conference, pp. 1221-1225, (2017)
  • [8] Richardson T., Urbanke R., Modern Coding Theory, (2008)
  • [9] Mori R., Tanaka T., Performance of polar codes with the construction using density evolution, IEEE Communications Letters, 13, 7, pp. 519-521, (2009)
  • [10] Liu Z.Z., Chen K., Niu K., Et al., Distance spectrum analysis of polar codes, Wireless Communications and Networking Conference, pp. 490-495, (2014)
123