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arXiv 2103.11674cs.NI
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THz-mmWave混合IoT网络的随机几何建模与分析

Stochastic Geometry Modeling and Analysis for THz-mmWave Hybrid IoT Networks

Chao Wang, Young Jin Chun

摘要:

太赫兹(THz)频段拥有丰富的频谱资源,可以提供超高的数据率。然而,由于太赫兹波段的固有特性,即,由于太赫兹通信的穿透性低、路径损耗大、分子吸收效应不可忽视等原因,其覆盖范围有限。为了克服这些基本障碍并充分利用THz频段,我们考虑由THz和毫米波(mmWave)单元组成的混合物联网(IoT)网络。混合物联网网络可以在mmWave和THz链路之间动态切换,以确保可靠和超快的数据连接。我们使用随机几何框架来评估所提出的混合物联网网络的覆盖概率和频谱效率,并通过数值模拟验证分析。在本文中,我们推导出一个封闭形式的表达的拉普拉斯变换的干扰,同时考虑一个准确的多级平顶(MLFT)天线方向图。我们观察到,一个大的天线阵列与太赫兹基站(TBS)的强偏差,提高了端到端的网络性能,通过数值计算结果。此外,我们认识到TBS的节点密度与对毫米波/太赫兹的偏置之间的基本权衡关系;例如,具有对TBS的强偏置的高TBS密度可能降低网络性能。

英文摘要:

Terahertz (THz) band contains abundant spectrum resources that can offer ultra-high data rates. However, due to the THz band's inherent characteristics, i.e., low penetrability, high path loss, and non-negligible molecular absorption effect, THz communication can only provide limited coverage. To overcome these fundamental obstacles and fully utilize the THz band, we consider a hybrid Internet-of-Things (IoT) network consisting of THz and millimeter wave (mmWave) cells. A hybrid IoT network can dynamically switch between mmWave and THz links to ensure reliable and ultra-fast data connection. We use a stochastic geometric framework to evaluate the proposed hybrid IoT network's coverage probability and spectral efficiency and validate the analysis through numerical simulation. In this paper, we derive a closed-form expression of the Laplace transform of the interference while considering an accurate multi-level Flat-top (MLFT) antenna pattern. We observed that a large antenna array with a strong bias to the THz base station (TBS) improves the end-to-end network performance through numerical results. Furthermore, we recognized a fundamental trade-off relation between the TBS's node density and the bias to mmWave/THz; e.g., high TBS density with a strong bias to the TBS may degrade the network performance.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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