An Area-Efficient Hybrid Polar Decoder with Pipelined Architecture

Yu Wang, Qinglin Wang, Yang Zhang, Shikai Qiu, Zuocheng Xing
2020 IEEE Access  
As the first kind of capacity-achieving forward error correction (FEC) codes, polar codes have attracted much research interest recently. Compared with traditional FEC codes, polar codes show better error correction performance when successive cancellation list (SCL) decoding with cyclic redundancy check is adopted. However, its serial decoding nature and high complexity of list management lead to its low throughput. Though the adaptive SCL decoding and hybrid decoding can improve the
more » ... prove the throughput, it comes at cost of implementation area. In this paper, we propose a pipelined hybrid decoding procedure and the corresponding hardware architecture to improve the area efficiency. In our design, the idle decoding cores are employed for successive cancellation (SC) decoding when SCL decoding is not working. The SCL decoding will be activated when the SC decoding fails. Different decoding cores work according to their own operation sequences and share one common processing array to improve the utilization ratio of processing elements. Constant receiving interval is supported with the design of input buffer to store all received codewords. A software platform is established to optimize the design parameters for each module of decoder. Moreover, the corresponding architecture is implemented using 65nm technology. Experimental results show that the proposed decoder can achieve a similar error correction performance with the SCL decoding with list size 16. Compared to the state-of-the-art available hybrid decoder, our proposed pipelined hybrid decoder is 3.07× more area efficient. INDEX TERMS Polar decoder, hybrid decoding, pipelined architecture, area-efficient. YU WANG (Student Member, IEEE) received the B.S. and M.S. degrees in electrical engineering from Air Force Engineering University, Xi'an, China, in 2013 and 2016, respectively. He is currently pursuing the Ph.D. degree in electrical engineering with the High-Performance His current research interests include error-correction codes, hardware architecture optimization, and VLSI architecture design for digital signal processing and communication systems.
doi:10.1109/access.2020.2985909 fatcat:6wolpg7tpbdyjcuwfuseutaj6i