Published July 2016 | Version Submitted
Journal Article Open

Asymmetric Error Correction and Flash-Memory Rewriting using Polar Codes

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon University of Southern California
  • 3. ROR icon New Jersey Institute of Technology
  • 4. ROR icon University at Buffalo, State University of New York
  • 5. ROR icon Texas A&M University

Abstract

We propose efficient coding schemes for two communication settings: 1) asymmetric channels and 2) channels with an informed encoder. These settings are important in non-volatile memories, as well as optical and broadcast communication. The schemes are based on non-linear polar codes, and they build on and improve recent work on these settings. In asymmetric channels, we tackle the exponential storage requirement of previously known schemes that resulted from the use of large Boolean functions. We propose an improved scheme that achieves the capacity of asymmetric channels with polynomial computational complexity and storage requirement. The proposed non-linear scheme is then generalized to the setting of channel coding with an informed encoder using a multicoding technique. We consider specific instances of the scheme for flash memories that incorporate error-correction capabilities together with rewriting. Since the considered codes are non-linear, they eliminate the requirement of previously known schemes (called polar write-once-memory codes) for shared randomness between the encoder and the decoder. Finally, we mention that the multicoding scheme is also useful for broadcast communication in Marton's region, improving upon previous schemes for this setting.

Additional Information

© 2016 IEEE. Manuscript received October 13, 2014; revised December 15, 2015; accepted February 20, 2016. Date of publication March 9, 2016; date of current version June 14, 2016. This work was supported in part by the U.S. National Science Foundation under Grant CIF-1218005, Grant CCF-1320785, Grant CCF-1439465, Grant CCF-1440001, and Grant CCF-1217944, in part by the U.S. Israel Binational Science Foundation under Grant 2010075, and in part by Intellectual Ventures. This paper was presented at the 2014 IEEE International Symposium on Information Theory.

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Additional details

Identifiers

Eprint ID
68580
DOI
10.1109/TIT.2016.2539967
Resolver ID
CaltechAUTHORS:20160622-104849133

Funding

NSF
CIF-1218005
NSF
CCF-1320785
NSF
CCF-1439465
NSF
CCF-1217944
Binational Science Foundation (USA-Israel)
2010075
Intellectual Ventures

Dates

Created
2016-06-22
Created from EPrint's datestamp field
Updated
2021-11-11
Created from EPrint's last_modified field