论文标题
IRS辅助误差与硬件障碍的光谱和能源效率
Spectral and Energy Efficiency of IRS-Assisted MISO Communication with Hardware Impairments
论文作者
论文摘要
在这封信中，我们分析了具有硬件障碍的智能反射表面（IRS）辅助多输入单输出（MISO）下行链路系统的光谱和能效。使用扩展的误差向量幅度（EEVM）模型来表征访问点（AP）对射频（RF）损伤的影响，并且考虑了不完美的IRS的相位噪声。我们表明，即使硬件损伤的数量无限大，光谱效率也受到限制，即使是AP天线和IRS元素的数量，这与常规案例与理想的硬件形成鲜明对比。此外，高SNR处的性能降解主要受AP硬件障碍而不是IRS的相位噪声影响。我们进一步以封闭形式获得最佳的最佳发射功率，以最大化能源效率。提供仿真结果以验证这些结果。
In this letter, we analyze the spectral and energy efficiency of an intelligent reflecting surface (IRS)-assisted multiple-input single-output (MISO) downlink system with hardware impairments. An extended error vector magnitude (EEVM) model is utilized to characterize the impact of radio-frequency (RF) impairments at the access point (AP) and phase noise is considered for the imperfect IRS. We show that the spectral efficiency is limited due to the hardware impairments even when the numbers of AP antennas and IRS elements grow infinitely large, which is in contrast with the conventional case with ideal hardware. Moreover, the performance degradation at high SNR is shown to be mainly affected by the AP hardware impairments rather than the phase noise of IRS. We further obtain the optimal transmit power in closed form for energy efficiency maximization. Simulation results are provided to verify these results.
