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<p>This paper studies the jointly robust beamforming design for reconfigurable intelligent surface (RIS) assisted internet of vehicle (IoV) where the transceiver antennas have impairments. In order to obtain the optimal robust beamforming, the optimization problem is formulated to maximize the total spectral efficiency (or sum rate per Hertz) of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) users with transceiver hardware impairments subject to the signal to interference plus noise ratio (SINR) requirements, the interference threshold between vehicle users, the limited total transmit power, and RIS phase shift constraints. To solve this complex non-convex problem, an alternating optimization method is proposed to obtain the optimal transmission precoding vectors and RIS reflection matrix. The simulation results have verified that it is necessary to consider hardware impairments for jointly designing the active and reactive beamforming in multi-antenna transmission scenario and there are 0.1&#xa0;bit/s/Hz uniform growth and 0.2&#xa0;bit/s/Hz linear growth in terms of spectral efficiency compared with non-robust algorithm and without RIS algorithm, respectively.</p>

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Robust beamforming design for RIS-aided IoV with transceiver hardware impairments

  • 期刊论文

  • 发表日期：

    2025年2月8日

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  • Xiangping Kong,
  • Yu Wang,
  • Lei Zhang,
  • Yulong Shang,
  • Jianjie Tian,
  • Ziyan Jia

摘要

This paper studies the jointly robust beamforming design for reconfigurable intelligent surface (RIS) assisted internet of vehicle (IoV) where the transceiver antennas have impairments. In order to obtain the optimal robust beamforming, the optimization problem is formulated to maximize the total spectral efficiency (or sum rate per Hertz) of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) users with transceiver hardware impairments subject to the signal to interference plus noise ratio (SINR) requirements, the interference threshold between vehicle users, the limited total transmit power, and RIS phase shift constraints. To solve this complex non-convex problem, an alternating optimization method is proposed to obtain the optimal transmission precoding vectors and RIS reflection matrix. The simulation results have verified that it is necessary to consider hardware impairments for jointly designing the active and reactive beamforming in multi-antenna transmission scenario and there are 0.1 bit/s/Hz uniform growth and 0.2 bit/s/Hz linear growth in terms of spectral efficiency compared with non-robust algorithm and without RIS algorithm, respectively.