The performance of low-density parity-check (LDPC) codes in the error floor region is closely related to some substructures of the code's Tanner graph, collectively referred to as trapping sets (TSs). In this paper, we study the asymptotic average number of different types of trapping sets such as elementary TSs (ETS), leafless ETSs (LETS), absorbing sets (ABS), elementary ABSs (EABS), and stopping sets (SS), in random variable-regular and irregular LDPC code ensembles. We demonstrate that, regardless of the type of the TS, as the code's length tends to infinity, the average number of a given structure tends to infinity, to a positive constant, or to zero, if the structure contains no cycle, only one cycle, or more than one cycle, respectively. For the case where the structure contains a single cycle, we obtain an estimate of the expected number of the structure through the available approximations for the average number of the constituent cycle. These estimates, which are independent of the block length and only depend on the code's degree distributions, are shown to be accurate even for finite-length codes.
2018 IEEE International Symposium on Information Theory, ISIT 2018
Department of Systems and Computer Engineering

Dehghan, A. (Ali), & Banihashemi, A. (2018). Asymptotic Average Number of Different Categories of Trapping Sets, Absorbing Sets and Stopping Sets in Random LDPC Code Ensembles. In IEEE International Symposium on Information Theory - Proceedings (pp. 1650–1654). doi:10.1109/ISIT.2018.8437837