Channel equalization techniques for non-volatile memristor memories

Handle URI:
http://hdl.handle.net/10754/609460
Title:
Channel equalization techniques for non-volatile memristor memories
Authors:
Naous, Rawan ( 0000-0001-6129-7926 ) ; Zidan, Mohammed A. ( 0000-0003-3843-814X ) ; Salem, Ahmed Sultan; Salama, Khaled N. ( 0000-0001-7742-1282 )
Abstract:
Channel coding and information theoretic approaches have been utilized in conventional non-volatile memories to overcome their inherent design limitations of leakage, coupling and refresh rates. However, the continuous scaling and integration constraints set on the current devices directed the attention towards emerging memory technologies as suitable alternatives. Memristive devices are prominent candidates to replace the conventional electronics due to its non-volatility and small feature size. Nonetheless, memristor-based memories still encounter an accuracy limitation throughout the read operation addressed as the sneak path phenomenon. The readout data is corrupted with added distortion that increases significantly the bit error rate and jeopardizes the reliability of the read operation. A novel technique is applied to alleviate this distorting effect where the communication channel model is proposed for the memory array. Noise cancellation principles are applied with the aid of preset pilots to extract channel information and adjust the readout values accordingly. The proposed technique has the virtue of high speed, energy efficiency, and low complexity design while achieving high reliability and error-free decoding.
KAUST Department:
Electrical Engineering Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Naous, R., Zidan, M.A., Sultan, A. and Salama, K.N., 2016, March. Channel equalization techniques for non-volatile memristor memories. In 2016 Annual Conference on Information Science and Systems (CISS) (pp. 111-116). IEEE.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2016 Annual Conference on Information Science and Systems (CISS)
Conference/Event name:
2016 Annual Conference on Information Science and Systems (CISS)
Issue Date:
16-Mar-2016
DOI:
10.1109/CISS.2016.7460486
Type:
Conference Paper
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7460486
Appears in Collections:
Conference Papers; Electrical Engineering Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorNaous, Rawanen
dc.contributor.authorZidan, Mohammed A.en
dc.contributor.authorSalem, Ahmed Sultanen
dc.contributor.authorSalama, Khaled N.en
dc.date.accessioned2016-05-15T13:34:19Zen
dc.date.available2016-05-15T13:34:19Zen
dc.date.issued2016-03-16en
dc.identifier.citationNaous, R., Zidan, M.A., Sultan, A. and Salama, K.N., 2016, March. Channel equalization techniques for non-volatile memristor memories. In 2016 Annual Conference on Information Science and Systems (CISS) (pp. 111-116). IEEE.en
dc.identifier.doi10.1109/CISS.2016.7460486en
dc.identifier.urihttp://hdl.handle.net/10754/609460en
dc.description.abstractChannel coding and information theoretic approaches have been utilized in conventional non-volatile memories to overcome their inherent design limitations of leakage, coupling and refresh rates. However, the continuous scaling and integration constraints set on the current devices directed the attention towards emerging memory technologies as suitable alternatives. Memristive devices are prominent candidates to replace the conventional electronics due to its non-volatility and small feature size. Nonetheless, memristor-based memories still encounter an accuracy limitation throughout the read operation addressed as the sneak path phenomenon. The readout data is corrupted with added distortion that increases significantly the bit error rate and jeopardizes the reliability of the read operation. A novel technique is applied to alleviate this distorting effect where the communication channel model is proposed for the memory array. Noise cancellation principles are applied with the aid of preset pilots to extract channel information and adjust the readout values accordingly. The proposed technique has the virtue of high speed, energy efficiency, and low complexity design while achieving high reliability and error-free decoding.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7460486en
dc.rights(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.titleChannel equalization techniques for non-volatile memristor memoriesen
dc.typeConference Paperen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentComputational Bioscience Research Center (CBRC)en
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2016 Annual Conference on Information Science and Systems (CISS)en
dc.conference.date16-18 March 2016en
dc.conference.name2016 Annual Conference on Information Science and Systems (CISS)en
dc.conference.locationPrinceton, NJ, USAen
dc.eprint.versionPost-printen
dc.contributor.institutionUniversity of Michigan, USAen
kaust.authorNaous, Rawanen
kaust.authorSalem, Ahmed Sultanen
kaust.authorSalama, Khaled N.en
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