Link Budgeting and Interference Management for UAV Networks in 5G and Beyond
Link Budgeting and Interference Management for UAV Networks in 5G and Beyond
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DOI：
10.1145/3565287.3617627
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发表时间：
2023-10
期刊：
影响因子：
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通讯作者：
Henry Michaelson;Nolan Pettit;Vaishnavi Annabhemoju;Shuai Nie;Justin Bradley
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作者：
Henry Michaelson;Nolan Pettit;Vaishnavi Annabhemoju;Shuai Nie;Justin Bradley
无人机的研究和制造有助于创建比典型无线网络更灵活且更具成本效益的无线通信网络。这些无人机网络可以通过向蜂窝公司认为建造传统蜂窝塔成本太高的地区提供无线通信服务来帮助弥合美国农村的数字鸿沟。为了测试基于无人机的毫米波频率网络的不同方面，我们创建了 MATLAB 仿真。该模拟将内布拉斯加州东部一个农场的数字孪生可视化，该农场正在测试无人机。该仿真可通过适应发射机和接收机位置、网络频率、传输信号功率、天气条件和天线规格的变化来进行链路预算和干扰管理计算。该仿真能够计算动态变化条件下的关键网络值，例如信号与干扰加噪声比 (SINR)、路径损耗、大气损耗和天线增益。
UAVs have been studied and manufactured to help create wireless communications networks that are more flexible and cost-effective than a typical wireless network. These UAV networks could help bridge the digital divide in rural America by providing wireless communications service to areas where cell companies find it too expensive to build conventional cell towers. To test different aspects of a UAV based millimeter-wave frequency network, we created a MATLAB simulation. The simulation visualizes a digital twin of a farm in eastern Nebraska where UAVs are tested. The simulation allows for link budgeting and interference management calculations by accommodating changes in transmitter and receiver location, frequency of the network, power of the transmitted signal, weather conditions, and antenna specifications. The simulation is able to calculate critical network values such as signal-to-interference-plus-noise ratio (SINR), path loss, atmospheric loss, and antenna gains under dynamically changing conditions.