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Security enhancement and evaluation for noise aggregation over wireless fading channels

  • Xi'an Jiaotong University
  • National Simulation Education Center for Communications and Information Systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper studies the noise aggregation scheme with convolutional code in frequency-flat block-fading channel. While there is still a lot of limitation in the noise aggregation scheme, we combine the noise aggregation scheme with convolutional code for further study. By analysing the structure of its encoding system, we derives the optimal decoding algorithm in this scheme, and design three different decoding schemes. Considering the complexity and correctness of the decoding progress, we will adopt different decoding scheme in different situation. Due to the introduction of fading channel, the effect of the noise aggregation scheme has been increased significantly. In the meanwhile, we combine the noise aggregation scheme with adaptive modulation technology, the advantage of noise aggregation become more obvious. Simulation results show that the noise aggregation scheme can achieve a remarkable safety performance improvement and have good application prospects.

Original languageEnglish
Title of host publicationIEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages466-471
Number of pages6
ISBN (Electronic)9781728186955
DOIs
StatePublished - Jul 2020
Event2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020 - Toronto, Canada
Duration: 6 Jul 20209 Jul 2020

Publication series

NameIEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020

Conference

Conference2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020
Country/TerritoryCanada
CityToronto
Period6/07/209/07/20

Keywords

  • Adaptive modulation techniques
  • Block-fading channel
  • Convolution code
  • Noise aggregation

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