2020 IEEE International Symposium
on Information Theory
21-26 June 2020 • Los Angeles, California, USA
| Paper ID | C.8.1 | ||
| Paper Title | Partially Information Coupled Duo-Binary Turbo Codes | ||
| Authors | Xiaowei Wu, Min Qiu, Jinhong Yuan, The University of New South Wales, Australia | ||
| Session | C.8: Spatially Coupled Codes | ||
| Presentation | Lecture | ||
| Track | Coding for Communications | ||
| Manuscript | Click here to download the manuscript | ||
| Virtual Presentation | Click here to watch in the Virtual Symposium | ||
| Abstract | Partially information coupled turbo codes (PIC-TCs) is a class of spatially coupled turbo codes (SC-TCs) that can approach the BEC capacity while keeping the encoding and decoding architectures of the underlying component codes unchanged. However, due to the coupling, PIC-TCs have significant rate loss compared to its component rate-1/3 turbo code, and the rate loss increases with the coupling ratio. To absorb the rate loss, in this paper, we propose the partially information coupled duo-binary turbo codes (PIC-dTCs). Given a rate-1/3 turbo code as the benchmark, we construct a duo-binary turbo code by introducing one extra input to the benchmark code. Then, some of the information bits from the original input are coupled to the extra input of the next code block. By looking into the graph model of PIC-dTC ensembles, we derive the exact density evolution equations of the PIC-dTC ensembles and compute their belief propagation decoding thresholds on the binary erasure channel. Simulation results verify the correctness of our theoretical analysis, and also shows significant error performance improvement over the uncoupled rate-1/3 turbo codes and existing designs of spatially coupled turbo codes. | ||
Plan Ahead
2021 IEEE International Symposium on Information Theory
11-16 July 2021 | Melbourne, Victoria, Australia
