论文标题
使用QAM信号传导的智能重新配置的基于表面的无线通信的性能
Performance of Intelligent Reconfigurable Surface-Based Wireless Communications Using QAM Signaling
论文作者
论文摘要
智能可重构表面（IRS）被视为6G无线网络的有前途的技术。美国国税局可以重新配置无线传播环境，从而导致无线通信的性能大大提高。在本文中，我们分析了带宽有效的正交振幅调制（QAM）技术的性能，用于IRS辅助无线通信上雷利褪色通道的性能。得出了矩形QAM，Square QAM和Cross QAM方案的通用平均符号错误率（ASER）的新闭合形式表达式。此外，还提供了低信噪比（SNR）和高SNR区域的ASER的简化表达式，这对于分析提供见解很有用。我们全面分析了调制参数的影响以及所采用的IRS元素的数量。我们还通过模拟来验证我们的理论结果。我们的结果表明，与在低SNR状态下加性白色高斯噪声通道相比，使用IRS可显着提高ASER性能。因此，IRS辅助无线通信可以成为各种低功耗通信应用（例如Things（IoT））的有前途的候选人。
Intelligent reconfigurable surface (IRS) is being seen as a promising technology for 6G wireless networks. The IRS can reconfigure the wireless propagation environment, which results in significant performance improvement of wireless communications. In this paper, we analyze the performance of bandwidth-efficient quadrature amplitude modulation (QAM) techniques for IRS-assisted wireless communications over Rayleigh fading channels. New closed-form expressions of the generic average symbol error rate (ASER) for rectangular QAM, square QAM and cross QAM schemes are derived. Moreover, simplified expressions of the ASER for low signal-to-noise-ratio (SNR) and high SNR regions are also presented, which are useful to provide insights analytically. We comprehensively analyze the impact of modulation parameters and the number of IRS elements employed. We also verify our theoretical results through simulations. Our results demonstrate that employing IRS significantly enhances the ASER performance in comparison to additive white Gaussian noise channel at a low SNR regime. Thus, IRS-assisted wireless communications can be a promising candidate for various low powered communication applications such as internet-of-things (IoT).
