基于神经网络的B5G/6G无线网络太赫兹信号传播分析

Djamila Talbi, Mohamed Amine Korteby, Zoltán Gál
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引用次数: 1

摘要

基于微蜂窝的超高速无线技术需要新的介质访问控制机制来提供控制平面的最高效率。目前对5G和6G以上无线服务的研究是通过特殊模拟器生成的合成数据进行的。本文采用NS3 TeraSim工具,在10 ms模拟时间间隔内,对不同人群和拓扑场景下移动终端到独特基站的上传通信案例进行了评估。基于分形的小波分析提取了不同仿真情况下的通道接入特征,并用递归神经网络进行分类。所使用的方法执行新的IEEE预标准机制的稳定和不稳定阶段,称为太赫兹自适应定向天线协议。
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Neural Network Based Analysis of Terahertz Frequency Signal Propagation for B5G/6G Wireless Networks
Pico-cell based very high-speed wireless technologies require new medium access control mechanisms to provide top efficiency in the control plane. Beyond 5G and 6G wireless services are studied currently with synthetic data generated with special simulators. In this paper we used NS3 TeraSim tool to evaluate upload communication cases from mobile terminals to unique base station in different population and topology scenarios during 10 ms simulated time interval. Fractal based wavelet analysis is used to extract features of channel access in different simulation cases and classify them with recurrent neural network. The methodology utilized performs stable and unstable phases of the new IEEE pre-standard mechanism called Adaptive Directional Antenna Protocol for THz.
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