Information rates of constrained TDMR channels using generalized belief propagation

Mehrdad Khatami; Mohsen Bahrami; Bane Vasic

doi:10.1109/GLOCOM.2014.7417728

Information rates of constrained TDMR channels using generalized belief propagation

Mehrdad Khatami, Mohsen Bahrami, Bane Vasic

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

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.

Original language	English (US)
Title of host publication	2015 IEEE Global Communications Conference, GLOBECOM 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479959525
DOIs	https://doi.org/10.1109/GLOCOM.2014.7417728
State	Published - Jan 1 2015
Event	58th IEEE Global Communications Conference, GLOBECOM 2015 - San Diego, United States Duration: Dec 6 2015 → Dec 10 2015

Publication series

Name	2015 IEEE Global Communications Conference, GLOBECOM 2015

Other

Other	58th IEEE Global Communications Conference, GLOBECOM 2015
Country	United States
City	San Diego
Period	12/6/15 → 12/10/15

Keywords

Generalized Belief Propagation (GBP)
Mutual Information Rate
Two-Dimensional Constrained Coding
Two-Dimensional Magnetic Recording (TDMR)

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering
Communication

Access to Document

10.1109/GLOCOM.2014.7417728

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Cite this

Khatami, M., Bahrami, M., & Vasic, B. (2015). Information rates of constrained TDMR channels using generalized belief propagation. In 2015 IEEE Global Communications Conference, GLOBECOM 2015 [7417728] (2015 IEEE Global Communications Conference, GLOBECOM 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2014.7417728

Information rates of constrained TDMR channels using generalized belief propagation. / Khatami, Mehrdad; Bahrami, Mohsen; Vasic, Bane.

2015 IEEE Global Communications Conference, GLOBECOM 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7417728 (2015 IEEE Global Communications Conference, GLOBECOM 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Khatami, M, Bahrami, M & Vasic, B 2015, Information rates of constrained TDMR channels using generalized belief propagation. in 2015 IEEE Global Communications Conference, GLOBECOM 2015., 7417728, 2015 IEEE Global Communications Conference, GLOBECOM 2015, Institute of Electrical and Electronics Engineers Inc., 58th IEEE Global Communications Conference, GLOBECOM 2015, San Diego, United States, 12/6/15. https://doi.org/10.1109/GLOCOM.2014.7417728

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