TY - GEN
T1 - LDPC codes for partial-erasure channels in multi-level memories
AU - Cohen, Rami
AU - Cassuto, Yuval
PY - 2014
Y1 - 2014
N2 - In this paper, we develop a new channel model, which we name the q-ary partial erasure channel (QPEC). QPEC has a q-ary input, and its output is either one symbol or a set of M possible values. This channel mimics situations when current/voltage levels in measurement channels are only partially known, due to high read rates or imperfect current/voltage sensing. Our investigation is concentrated on the performance of low-density parity-check (LDPC) codes when used over this channel, due to their low decoding complexity with iterative-decoding algorithms. We give the density evolution equations of this channel, and develop its decoding-threshold analysis. Part of the analysis shows that finding the exact decoding threshold efficiently lies upon a solution to an open problem in additive combinatorics. For this part, we give bounds and approximations.
AB - In this paper, we develop a new channel model, which we name the q-ary partial erasure channel (QPEC). QPEC has a q-ary input, and its output is either one symbol or a set of M possible values. This channel mimics situations when current/voltage levels in measurement channels are only partially known, due to high read rates or imperfect current/voltage sensing. Our investigation is concentrated on the performance of low-density parity-check (LDPC) codes when used over this channel, due to their low decoding complexity with iterative-decoding algorithms. We give the density evolution equations of this channel, and develop its decoding-threshold analysis. Part of the analysis shows that finding the exact decoding threshold efficiently lies upon a solution to an open problem in additive combinatorics. For this part, we give bounds and approximations.
UR - http://www.scopus.com/inward/record.url?scp=84906545593&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2014.6875203
DO - 10.1109/ISIT.2014.6875203
M3 - منشور من مؤتمر
SN - 9781479951864
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 2097
EP - 2101
BT - 2014 IEEE International Symposium on Information Theory, ISIT 2014
T2 - 2014 IEEE International Symposium on Information Theory, ISIT 2014
Y2 - 29 June 2014 through 4 July 2014
ER -