Memristor crossbar-based ultra-efficient next-generation baseband processors

Geng Yuan, Caiwen Ding, Ruizhe Cai, Xiaolong Ma, Ziyi Zhao, Ao Ren, Bo Yuan, Yanzhi Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

As one of the most promising future fundamental devices, memristor has its unique advantage on implementing low-power high-speed matrix multiplication. Taking advantage of the high performance on basic matrix operation and flexibilitys of memristor crossbars, in this paper, we investigate both discrete Fourier transformation (DFT) and miltiple-input and multi-output (MIMO) detection unit in baseband processor. We reformulate the signal processing algorithms and model structures into a matrix-based framework, and present a memristor crossbar based DFT module design and MIMO detector module design. For both designs, experimental results demonstrate significant gains in speed and power efficiency compared with traditional CMOS-based designs.

Original languageEnglish (US)
Title of host publication2017 IEEE 60th International Midwest Symposium on Circuits and Systems, MWSCAS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1121-1124
Number of pages4
ISBN (Electronic)9781509063895
DOIs
StatePublished - Sep 27 2017
Event60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017 - Boston, United States
Duration: Aug 6 2017Aug 9 2017

Publication series

NameMidwest Symposium on Circuits and Systems
Volume2017-August
ISSN (Print)1548-3746

Other

Other60th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2017
Country/TerritoryUnited States
CityBoston
Period8/6/178/9/17

Keywords

  • Base<band processor
  • DFT
  • MIMO detector
  • Memristor crossbar

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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