TY - GEN
T1 - Information rates of constrained TDMR channels using generalized belief propagation
AU - Khatami, Mehrdad
AU - Bahrami, Mohsen
AU - Vasic, Bane
N1 - Funding Information:
This work has been funded by IDEMA-ASTC, and NSF under grants CCF-1314147
Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - In this paper, we estimate the Mutual Information Rate (MIR) for Two-Dimensional Magnetic Recording (TDMR) channel with input constraints by using the Generalized Belief Propagation (GBP) algorithm. The Voronoi channel model is considered in this paper. Since the main source of media noise in the TDMR channel is the boundary distortion of the bit area which is manifested in presence of transitions of the input data, the constraints utilized for TDMR systems limit the number of transitions in the input patterns. In [1], we showed that constrained coding can provide performance gain in the bit error rate (BER). However, BER is not a proper figure of merit to compare various input distributions for a fixed channel since the rate loss due to using constrained input is not accounted for. On the other hand, computing MIR for different input distributions can lead us to the limits of the channel capacity.
AB - In this paper, we estimate the Mutual Information Rate (MIR) for Two-Dimensional Magnetic Recording (TDMR) channel with input constraints by using the Generalized Belief Propagation (GBP) algorithm. The Voronoi channel model is considered in this paper. Since the main source of media noise in the TDMR channel is the boundary distortion of the bit area which is manifested in presence of transitions of the input data, the constraints utilized for TDMR systems limit the number of transitions in the input patterns. In [1], we showed that constrained coding can provide performance gain in the bit error rate (BER). However, BER is not a proper figure of merit to compare various input distributions for a fixed channel since the rate loss due to using constrained input is not accounted for. On the other hand, computing MIR for different input distributions can lead us to the limits of the channel capacity.
KW - Generalized Belief Propagation (GBP)
KW - Mutual Information Rate
KW - Two-Dimensional Constrained Coding
KW - Two-Dimensional Magnetic Recording (TDMR)
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U2 - 10.1109/GLOCOM.2014.7417728
DO - 10.1109/GLOCOM.2014.7417728
M3 - Conference contribution
AN - SCOPUS:84964874926
T3 - 2015 IEEE Global Communications Conference, GLOBECOM 2015
BT - 2015 IEEE Global Communications Conference, GLOBECOM 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 58th IEEE Global Communications Conference, GLOBECOM 2015
Y2 - 6 December 2015 through 10 December 2015
ER -