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This paper studies a joint active and passive beamforming design method of IRS-assisted MISO downlink vehicular-SWIPT communication system. To maximize the received energy of the vehicle terminal, the optimization is subject to constraints on total transmit power, signal to interference plus noise ratio (SINR), and IRS phase shift. The resulting non-convex optimization problem with coupled variables, is addressed through an alternate iterative approach that employs semidefinite relaxation and first-order Taylor expansion. The results demonstrate significant performance improvement with the proposed algorithm over the benchmark methods.

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Beamforming Design for SWIPT Internet of Vehicle Aided by IRS

  • 会议论文

  • 发表日期：

    2025年

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  • Yuanyuan Gu,
  • Lei Zhang,
  • Yu Wang,
  • Siqi Bi,
  • Zhongfang Hu,
  • Desheng Wang

摘要

This paper studies a joint active and passive beamforming design method of IRS-assisted MISO downlink vehicular-SWIPT communication system. To maximize the received energy of the vehicle terminal, the optimization is subject to constraints on total transmit power, signal to interference plus noise ratio (SINR), and IRS phase shift. The resulting non-convex optimization problem with coupled variables, is addressed through an alternate iterative approach that employs semidefinite relaxation and first-order Taylor expansion. The results demonstrate significant performance improvement with the proposed algorithm over the benchmark methods.