论文标题
可重新配置的智能表面辅助协助基于空间媒体的调制
Reconfigurable Intelligent Surface Aided Spatial Media-Based Modulation
论文作者
论文摘要
对高数据速率,可靠性,高能效,高光谱效率和低潜伏期通信的需求正在迅速增加。因此,以最佳方式使用有限资源的通信模型,允许快速数据传输和提高性能变得非常重要。在这项工作中,为瑞利褪色通道提出了一种新型的高能和光谱有效的可重新配置的智能表面辅助表面辅助辅助调制系统,称为RIS-SMBM。除了在M-QAM符号中携带的位外,基于媒体的调制(MBM)可根据射频(RF)镜子在不同通道的指数中携带的数据位打开或关闭,空间调制(SM)提供了在传输天线的指数中携带的数据位。通过组合这两个调制方案,由于相同时间间隔传输的信息量大大增加,因此光谱效率大大提高。提出了RIS-SMBM系统的最佳最大可能(ML)检测器和增强的低复杂性(ELC)检测器。 ELC检测器可实现接近ML的性能,同时降低了所提出的RIS-SMBM系统的最佳ML检测器的复杂性。我们分析了RIS-SMBM方案的平均位错误率(ABER),吞吐量,复杂性和能效,并通过Monte Carlo模拟验证分析结果。已经观察到,与基准系统相比,提出的系统提供了更好的错误性能以及提供更高的光谱和能源效率。
The demands for high data rate, reliability, high energy efficiency, high spectral efficiency, and low latency communication have been increasing rapidly. For this reason, communication models that use limited resources in the best way, allow fast data transmission, and increase performance has become very important. In this work, a novel high energy and spectral efficient reconfigurable intelligent surface aided spatial media-based modulation system, called RIS-SMBM, is proposed for Rayleigh fading channels. In addition to the bits carried in the M-QAM symbol, while media-based modulation (MBM) provides data bits to be carried in the indices of different channels according to the radio frequency (RF) mirrors are on or off, spatial modulation (SM) provides data bits to be carried in the indices of the transmit antennas. By combining these two modulation schemes, the spectral efficiency increases considerably since the amount of information transmitted in the same time interval is substantially increased. The optimal maximum-likelihood (ML) detector and the enhanced low-complexity (ELC) detector for the RIS-SMBM system are proposed. The ELC detector achieves near ML performance while reducing the complexity of the optimal ML detector for the proposed RIS-SMBM system. We analyze the average bit error rate (ABER), throughput, complexity, and energy efficiency for the RIS-SMBM scheme and verify the analytical results with Monte Carlo simulations. It has been observed that the proposed system provides better error performance as well as providing higher spectral and energy efficiency than benchmark systems.