TY - GEN
T1 - LDPC codes for the q-ary bit-measurement channel
AU - Cohen, Rami
AU - Cassuto, Yuval
N1 - Publisher Copyright: © 2016 IEEE.
PY - 2016/10/17
Y1 - 2016/10/17
N2 - In this paper, we introduce a new channel model we term the q-ary bit-measurement channel (QBMC). This channel models a memory device, where q-ary symbols (q = 2s) are stored in the form of current/voltage levels. The symbols are read by measuring a single bit from the symbol in each read step, starting from the most significant bit. An error event occurs when not all the symbol bits are known, e.g., due to a premature termination of the read sequence. To deal with such error events, we propose the use of GF(q) low-density parity-check (LDPC) codes and analyze their iterative-decoding performance. In particular, we show how to exploit the algebraic structure of the QBMC channel for efficient analysis, and study the effect of the Tanner graph's edge-label distribution on the decoding performance. It is shown that for q = 4 the optimal correction of single-bit erasures is achieved by a distribution different from the uniform distribution on the non-zero elements of GF(4).
AB - In this paper, we introduce a new channel model we term the q-ary bit-measurement channel (QBMC). This channel models a memory device, where q-ary symbols (q = 2s) are stored in the form of current/voltage levels. The symbols are read by measuring a single bit from the symbol in each read step, starting from the most significant bit. An error event occurs when not all the symbol bits are known, e.g., due to a premature termination of the read sequence. To deal with such error events, we propose the use of GF(q) low-density parity-check (LDPC) codes and analyze their iterative-decoding performance. In particular, we show how to exploit the algebraic structure of the QBMC channel for efficient analysis, and study the effect of the Tanner graph's edge-label distribution on the decoding performance. It is shown that for q = 4 the optimal correction of single-bit erasures is achieved by a distribution different from the uniform distribution on the non-zero elements of GF(4).
UR - http://www.scopus.com/inward/record.url?scp=84994410756&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/ISTC.2016.7593117
DO - https://doi.org/10.1109/ISTC.2016.7593117
M3 - منشور من مؤتمر
T3 - International Symposium on Turbo Codes and Iterative Information Processing, ISTC
SP - 261
EP - 265
BT - 2016 9th International Symposium on Turbo Codes and Iterative Information Processing
T2 - 9th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2016
Y2 - 5 September 2016 through 9 September 2016
ER -