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An Efficient PLS Scheme for Coded MIMO Systems Under Imperfect Channel Estimation

  • Jeonbuk National University

Research output: Contribution to conferenceConference paperpeer-review

Abstract

In recent years, the concept of physical layer security (PLS) has emerged as a promising approach to supplement tra-ditional cryptographic solutions. However, many PLS techniques rely on accurate knowledge of the channel state information (CSI) at the transmitter, which can be difficult to obtain in real-world scenarios. This paper presents a physical layer security scheme designed to enhance the security of a coded multi-input multi-output (MIMO) system operating under imperfect channel estimation conditions. To achieve a high level of security, we adopt a strategy that involves a channel-dependent interleaving scheme for the coded MIMO system, and combined additional simple coding schemes to prevent serious performance degradation caused by CSI error. Simulation results presented in this paper demonstrate that the proposed scheme effectively protects the transmitted data without any information leakage to the eavesdronner.

Original languageEnglish
Title of host publication2024 International Conference on Computing, Networking and Communications, ICNC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages339-343
Number of pages5
ISBN (Electronic)9798350370997
DOIs
StatePublished - 2024
Event2024 International Conference on Computing, Networking and Communications, ICNC 2024 - Big Island, United States
Duration: 2024.02.192024.02.22

Publication series

Name2024 International Conference on Computing, Networking and Communications, ICNC 2024

Conference

Conference2024 International Conference on Computing, Networking and Communications, ICNC 2024
Country/TerritoryUnited States
CityBig Island
Period24.02.1924.02.22

Keywords

  • bit interleaved coded modulation
  • channel state information
  • estimation error
  • forward error correction
  • multi-input multi-output
  • physical layer security

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Engineering - Petroleum
  • Data Science

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