论文标题
环境反向散射友好的5G网络：为标签创建热点和读者的好点
Ambient backscatters-friendly 5G networks: creating hot spots for tags and good spots for readers
论文作者
论文摘要
在本文中，我们提出了一个环境反向散射的5G网络，该网络可为读者创建具有较大功率（热点）的位置（热点）和良好的接收位置（安静的景点或连贯的位置）。大量的多重输入多重输出（M-MIMO）天线和5G网络的光束成型能力如下。第一步，使用训练设备（与标签和读者分开）来发送飞行员并训练5G网络以执行聚焦和/或将其无效。在第二步中，标签和读者位于标记的位置。 M-MIMO波束成形对环境的略有变化的鲁棒性被利用。在多径传播通道环境中，我们的初始仿真结果表明，在标签上创建热点可以改善标签阅读器范围，但是，检测概率较低。在标签上创建一个热点，同时在读者上在读取器上创建一个良好的接收点，以99％的检测概率改善了标签阅读器范围。该研究还表明，波束形成不会降低传统5G通信的性能。
In this paper, we present an ambient backscatters-friendly 5G network that creates locations with large power (hot spots) for tags and good reception locations (quiet spots or coherent spots) for readers. The massive multiple input multiple output (M-MIMO) antenna and beamforming capability of the 5G network is used as follows. In a first step, a training device (separate from tags and readers) is used to send pilots and train the 5G network to perform focusing and/or nulling onto marked locations. In a second step, tags and readers are positioned onto the marked locations. The robustness of M-MIMO beamforming to slight changes in the environment is exploited. Our initial simulation results, in a multipath propagation channel environment, show that creating a hot spot on a tag improves the tag-reader range however with a low probability of detection. Creating a hot spot on a tag and a good reception spot on a reader at the same time, improves the tag-reader range with 99% probability of detection. The study also shows that beamforming does not degrade the performance of a legacy 5G communication.
