Guest Editorial Channel Modeling, Coding and Signal Processing for Novel Physical Memory Devices and Systems

Shayan Srinivasa Garani; Tong Zhang; Ravi Hiranand Motwani; Haralampos Pozidis; Bane Vasic

doi:10.1109/JSAC.2016.2603713

Guest Editorial Channel Modeling, Coding and Signal Processing for Novel Physical Memory Devices and Systems

Shayan Srinivasa Garani
, Tong Zhang
, Ravi Hiranand Motwani
, Haralampos Pozidis
, Bane Vasic

Research output: Contribution to journal › Review article › peer-review

2 Scopus citations

Abstract

The digital universe is doubling every two years and expected to reach an unwieldy 44 zettabytes into the next decade. To cope with the ever increasing need for storing, transmitting and retrieving huge amounts of data, cloud storage, data centers and other massively distributed storage networks have emerged. These rely on efficient memory technologies at the physical level for speed, reliability and energy efficiency.

Original language	English (US)
Article number	7587447
Pages (from-to)	2289-2293
Number of pages	5
Journal	IEEE Journal on Selected Areas in Communications
Volume	34
Issue number	9
DOIs	https://doi.org/10.1109/JSAC.2016.2603713
State	Published - Sep 2016

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

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10.1109/JSAC.2016.2603713

Cite this

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title = "Guest Editorial Channel Modeling, Coding and Signal Processing for Novel Physical Memory Devices and Systems",

abstract = "The digital universe is doubling every two years and expected to reach an unwieldy 44 zettabytes into the next decade. To cope with the ever increasing need for storing, transmitting and retrieving huge amounts of data, cloud storage, data centers and other massively distributed storage networks have emerged. These rely on efficient memory technologies at the physical level for speed, reliability and energy efficiency.",

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AU - Motwani, Ravi Hiranand

AU - Pozidis, Haralampos

AU - Vasic, Bane

PY - 2016/9

Y1 - 2016/9

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AB - The digital universe is doubling every two years and expected to reach an unwieldy 44 zettabytes into the next decade. To cope with the ever increasing need for storing, transmitting and retrieving huge amounts of data, cloud storage, data centers and other massively distributed storage networks have emerged. These rely on efficient memory technologies at the physical level for speed, reliability and energy efficiency.

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M3 - Review article

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Guest Editorial Channel Modeling, Coding and Signal Processing for Novel Physical Memory Devices and Systems

Abstract

ASJC Scopus subject areas

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