Robust and Secure Communications in Intelligent Reflecting Surface Assisted NOMA Networks

@article{Zhang2020RobustAS,
  title={Robust and Secure Communications in Intelligent Reflecting Surface Assisted NOMA Networks},
  author={Zheng Zhang and Lu Lv and Qingqing Wu and Hao Deng and Jian Chen},
  journal={IEEE Communications Letters},
  year={2020},
  volume={25},
  pages={739-743}
}
This letter investigates secure transmission in an intelligent reflecting surface (IRS) assisted non-orthogonal multiple access (NOMA) network. Consider a practical eavesdropping scenario with imperfect channel state information of the eavesdropper, we propose a robust beamforming scheme using artificial noise to guarantee secure NOMA transmission with the IRS. A joint transmit beamforming and IRS phase shift optimization problem is formulated to minimize the transmit power. Since the problem… 
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A rate-splitting multiple access (RSMA)-based intelligent reflecting surface (IRS)-aided multi-user multiple-input single-output (MISO) secure commu- nication system with a potential eavesdropper (Eve).

IRS-Aided Secure NOMA Networks Against Internal and External Eavesdropping

Simulation results demonstrate the superiority of the proposed IRS-aided schemes against the challenging internal and external eavesdropping by combining IRS and NOMA.

Robust Secure Design for RIS-aided NOMA Network against Internal Near-End Eavesdropping

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This letter develops an alternative algorithm to optimize the reflection matrix at the RIS and the beamforming vector at the PB under the constraints of total transmit power and unit modulus and shows the achievable secrecy performance of the proposed optimization scheme.

On the Secrecy Design of STAR-RIS Assisted Uplink NOMA Networks

This paper investigates the secure transmission in a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted uplink non-orthogonal multiple access system,…

Secure Transmission via IUI Engineering for IRS-Assisted NOMA Systems

This letter aims to reduce the signal-to-interference-plus-noise ratio (SINR) of the passive eavesdropper to deteriorate eavesdropping by maximizing the transmit power of weaker users and modifying the successive interference cancelation (SIC) order.

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