Artificial Noise Projection Matrix optimization Method for Secure Multi-cast Wireless Communication

Jianbang Gao, Zhaohui Yuan, Bin Qiu

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

Abstract

Transmit beamforming and artificial noise (AN) methods have been widely employed to achieve wireless physical layer (PHY) secure transmissions. While most works focus on transmit beamforming optimization, little attention is paid to the design of artificial noise projection matrix (ANPM). In this paper, compared with traditional ANPM obtained by zero-forcing method, which only makes AN power uniform distribution in free space outside legitimate users (LU) locations, we design ANPM to maximize the interference on eavesdroppers without interference on LUs for multicast directional modulation (MCDM) scenario based on frequency diverse array (FDA). Furthermore, we extend our approach to the case of with imperfect locations of Eves. Finally, simulation results show that Eves can be seriously affected by the AN with perfect/imperfect locations, respectively.

Original languageEnglish
Title of host publication2020 IEEE 8th International Conference on Information, Communication and Networks, ICICN 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages33-37
Number of pages5
ISBN (Electronic)9781728189758
DOIs
StatePublished - Aug 2020
Event8th IEEE International Conference on Information, Communication and Networks, ICICN 2020 - Xi'an, China
Duration: 22 Aug 202025 Aug 2020

Publication series

Name2020 IEEE 8th International Conference on Information, Communication and Networks, ICICN 2020

Conference

Conference8th IEEE International Conference on Information, Communication and Networks, ICICN 2020
Country/TerritoryChina
CityXi'an
Period22/08/2025/08/20

Keywords

  • artificial noise projection matrix (ANPM)
  • multi-cast
  • Physical layer (PHY) security

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