论文标题
6G无线通信的IRS辅助NOMA分析
Analysis of IRS-Assisted NOMA for 6G Wireless Communications
论文作者
论文摘要
非正交的多重访问（NOMA）方案启用了具有相同资源块的用户，即频率或时间通过多样化用户的信号。智能反射表面（IRS）或可重新配置的智能表面（RIS）是通过调整通常被动反射组件来修改信号传播来提高传输效率的潜在方法。 IRS以这种方式重新配置无线网络以提高系统性能。该研究认为IRS辅助下行链路NOMA系统。这项工作通过采用IRS特定于IRS频率差的路径损失模型来修改参考模型，用于IRS-NOMA下行链路接收的功率和信噪比，而不是典型或常规的距离依赖性路径损耗模型。与常规路径损耗模型相比，IRS特异性路径损耗模型的合并提供了更方便，更好的测量。此外，这项工作还确定了参考模型中的改进范围。
Non-orthogonal multiple access (NOMA) scheme enables serving users with the same resource block i.e. frequency or time by multiplexing the signal of the users. Intelligent reflecting surfaces (IRS) or reconfigurable intelligent surfaces (RIS) is a potential approach for increasing transmission efficiency by modifying signal propagation by tweaking typically passive reflective components. IRS reconfigures the wireless network in this manner to improve system performance. The research considered an IRS-assisted downlink NOMA system. This work modified the reference model by adopting an IRS-specific frequency-distance-dependent path loss model for IRS-NOMA downlink received power and signal-to-interference plus noise ratio (SINR) measurement instead of a typical or conventional distance-dependant path loss model. The incorporation of an IRS-specific path loss model provides a more convenient and better measurement compared to the conventional path loss model. Furthermore, this work figures out an improvement scope in the reference model.
