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This paper considers a Backscatter Communication (BSC) system enhanced by an intelligent reconfigurable surface (IRS) and studies a weighted sum throughput maximization problem. In particular, the objective system performance of the considered system is maximized by jointly optimizing the active transmit beamforming at the energy transmitter (ET), passive beamforming at the IRS, and receive beamforming at the Reader. Due to the IRS double reflections and multi backscatter device interference, the formulated problem is non-convex. To overcome this issue, we propose an efficient algorithm based on Fractional Programming (FP) technique and manifold optimization. Experimental results reveal that remarkable performance improvement is attained by the proposed algorithm under various system parameters settings.

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Throughput Maximization for Intelligent Reconfigurable Surface Enhanced Backscatter Communication System

  • 会议论文

  • 发表日期：

    2026年

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  • Weilin Zang,
  • Chenghua Mao,
  • Zhongkai Xiao,
  • Sanming Song

摘要

This paper considers a Backscatter Communication (BSC) system enhanced by an intelligent reconfigurable surface (IRS) and studies a weighted sum throughput maximization problem. In particular, the objective system performance of the considered system is maximized by jointly optimizing the active transmit beamforming at the energy transmitter (ET), passive beamforming at the IRS, and receive beamforming at the Reader. Due to the IRS double reflections and multi backscatter device interference, the formulated problem is non-convex. To overcome this issue, we propose an efficient algorithm based on Fractional Programming (FP) technique and manifold optimization. Experimental results reveal that remarkable performance improvement is attained by the proposed algorithm under various system parameters settings.