论文标题
基于K-均基于索引调制可重构智能表面的星座优化
K-Means Based Constellation Optimization for Index Modulated Reconfigurable Intelligent Surfaces
论文作者
论文摘要
可重新配置的智能表面（RIS）最近成为一种有前途的技术，实现了下一代无线网络。在这封信中，我们通过利用RIS传达信息来开发改进的索引调制（IM）方案。具体而言，我们研究了RIS辅助的多输入单输出（MISO）系统，其中信息位是通过RIS的反射模式而不是常规振幅相位星座传达的。此外，使用K-均值算法来优化反射星座以改善误差性能。此外，我们提出了一种通用的灰色编码方法，用于将信息位映射到适当的反射星座，并通过得出平均位错误率（BER）的紧密上限来分析提出的方案的错误性能。最后，数值结果验证了我们的理论分析的准确性以及所提出的基于RIS的IM传输方案的BER性能得到了显着提高。
Reconfigurable intelligent surface (RIS) has recently emerged as a promising technology enabling next-generation wireless networks. In this letter, we develop an improved index modulation (IM) scheme by utilizing RIS to convey information. Specifically, we study an RIS-aided multiple-input single-output (MISO) system, in which the information bits are conveyed by reflection patterns of RIS rather than the conventional amplitude-phase constellation. Furthermore, the K-means algorithm is employed to optimize the reflection constellation to improve the error performance. Also, we propose a generalized Gray coding method for mapping information bits to an appropriate reflection constellation and analytically evaluate the error performance of the proposed scheme by deriving a tight upper bound of the average bit error rate (BER). Finally, numerical results verify the accuracy of our theoretical analysis as well as the substantially improved BER performance of the proposed RIS-based IM transmission scheme.
