Title :
On the Hardness of Approximating Stopping and Trapping Sets
Author :
McGregor, Andrew ; Milenkovic, Olgica
Author_Institution :
Dept. of Comput. Sci., Univ. of Massachusetts, Amherst, MA, USA
fDate :
4/1/2010 12:00:00 AM
Abstract :
We prove that approximating the size of stopping and trapping sets in Tanner graphs of linear block codes, and more restrictively, the class of low-density parity-check (LDPC) codes, is NP-hard. The ramifications of our findings are that methods used for estimating the height of the error-floor of moderate- and long-length LDPC codes, based on stopping and trapping set enumeration, cannot provide accurate worst-case performance predictions for most codes.
Keywords :
block codes; computational complexity; graph theory; linear codes; parity check codes; LDPC codes; NP-hard; Tanner graphs; linear block codes; stopping sets; trapping sets; AWGN; Bit error rate; Block codes; Iterative algorithms; Iterative decoding; Maximum likelihood decoding; Maximum likelihood estimation; Message passing; Parity check codes; Performance loss; Low-density parity-check (LDPC) codes; NP hardness; stopping sets; trapping sets;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2010.2040941