4.7 Article

On the Efficient Design of RIS-Assisted Secure MISO Transmission

Journal

IEEE WIRELESS COMMUNICATIONS LETTERS
Volume 11, Issue 8, Pages 1664-1668

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LWC.2022.3171043

Keywords

Array signal processing; MISO communication; Closed-form solutions; Computational complexity; Wireless communication; Security; Manifolds; Reconfigurable intelligent surface (RIS); multiple-input single-output (MISO); alternating direction (AD); artificial noise (AN); bit-error rate (BER)

Funding

  1. National Key Research and Development Program of China [2020YFB1806607]
  2. Sichuan Science and Technology Program [2021YFH0164]
  3. Swedish Research Council [2021-04772]
  4. Swedish Research Council [2021-04772] Funding Source: Swedish Research Council

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In order to improve physical-layer security, reconfigurable intelligent surface (RIS) has been proposed to assist artificial noise (AN) in MISO systems. By jointly designing phase shifts (PSs) and beamforming based on the oblique manifold (OM) algorithm, the trade-off between transmission reliability and security is achieved. The novel alternating direction (AD) algorithm is introduced to lower computational complexity and exhibits faster and more stable convergence compared to the OM algorithm.
For the sake of improving the physical-layer security, reconfigurable intelligent surface (RIS) has been suggested to assist artificial noise (AN) to bridge both their advantages in multiple-input single-output (MISO) systems. Specifically, for achieving the trade-off between the reliability and security of transmission, the phase shifts (PSs) and beamforming are jointly designed based on the oblique manifold (OM) algorithm (Wang et al., 2020) without eavesdropper's channel state information (CSI). In order to alleviate the computational complexity, a novel alternating direction (AD) algorithm is proposed in this contribution. Specifically, the initial problem is transformed into several subproblems, each of which determines a specific RIS unit via a closed-form solution when the other configurations are fixed. Furthermore, the AD algorithm is investigated to exhibit the low-complexity advantage in contrast to OM. Simulation results illustrate that AD can converge faster and more stably compared to OM with the same performance.

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