论文标题
RIS授权的多Aantenna通信的差分数据辅助梁训练
Differential Data-Aided Beam Training for RIS-Empowered Multi-Antenna Communications
论文作者
论文摘要
可重新配置的智能表面(RIS)构成了下一代无线通信的重要技术之一。在通信的直接链接较弱的情况下,它可以设想增强信号覆盖率。最近,提出了基于代码簿选择的光束训练以获得RI的优化相配置。之后,使用经典的相干解调方案(CDS)传输和接收数据。这种训练方法能够避免频道发声过程所需的大开销,并且还规避了复杂的优化问题。但是,光束训练仍然需要传输一些参考信号来测试代码簿的不同阶段配置,并且根据参考信号的接收能量的测量选择了最佳代码字。然后,由于参考信号的传输而引起的开销降低了光谱效率。在本文中,提出了基于非CDS(NCD)的数据传输和接收,提出了RIS的零高架光束训练。在BS上,收到的差分数据也可以用于确定RI的最佳光束。因此,由于完全避免了参考信号,因此系统的效率显着提高。选择最佳代码手册后,与经典CD相比,NCDS更适合于传输高移动性方案的信息。提出了非连锁RIS授权系统的信噪比和噪声比(SINR)的分析表达式。此外,还给出了NCD和CD之间在效率和复杂性方面进行的详细比较。广泛的计算机仿真结果验证了提出的分析的准确性,并展示了所提出的系统优于现有解决方案。
The Reconfigurable Intelligent Surface (RIS) constitutes one of the prominent technologies for the next generation of wireless communications. It is envisioned to enhance the signal coverage in cases when the direct link of the communication is weak. Recently, beam training based on codebook selection is proposed to obtain the optimized phase configuration of the RIS. After that, the data is transmitted and received by using the classical coherent demodulation scheme (CDS). This training approach is able to avoid the large overhead required by the channel sounding process, and it also circumvents complex optimization problems. However, the beam training still requires the transmission of some reference signals to test the different phase configurations of the codebook, and the best codeword is chosen according to the measurement of the received energy of the reference signals. Then, the overhead due to the transmission of reference signals reduces the spectral efficiency. In this paper, a zero overhead beam training for RIS is proposed, relying on data transmission and reception based on non-CDS (NCDS). At the BS, the received differential data can also be used for the determination of the best beam for the RIS. Therefore, the efficiency of the system is significantly enhanced since reference signals are fully avoided. After choosing the best codebook, NCDS is still more suitable to transmit information for high mobility scenarios as compared to the classical CDS. Analytical expressions for the Signal-to-Interference and Noise Ratio (SINR) for the non-coherent RIS-empowered system are presented. Moreover, a detailed comparison between the NCDS and CDS in terms of efficiency and complexity is also given. The extensive computer simulation results verify the accuracy of the presented analysis and showcase that the proposed system outperforms the existing solutions.