The next generations of wireless networks will work in frequency bands ranging from sub-6 GHz up to 100 GHz. Radio signal propagation differs here in several critical aspects from the behaviour in the microwave frequencies currently used. With wavelengths in the millimetre range (mmWave), both penetration loss and free-space path loss increase, while specular reflection will dominate over diffraction as an important propagation channel. Thus, current channel model protocols used for the generation of mobile networks and based on statistical parameter distributions obtained from measurements become insufficient due to the lack of deterministic information about the surroundings of the base station and the receiver-devices. These challenges call for new modelling tools for channel modelling which work in the short-wavelength/high-frequency limit and incorporate site-specific details—both indoors and outdoors. Typical high-frequency tools used in this context—besides purely statistical approaches—are based on ray-tracing techniques. Ray-tracing can become challenging when multiple reflections dominate. In this context, mesh-based energy flow methods have become popular in recent years. In this study, we compare the two approaches both in terms of accuracy and efficiency and benchmark them against traditional power balance methods.

中文翻译：

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高频多腔系统中的无线电力分配


下一代无线网络将工作在低于 6 GHz 至 100 GHz 的频段。无线电信号传播在几个关键方面与当前使用的微波频率的行为不同。对于毫米范围（mmWave）的波长，穿透损耗和自由空间路径损耗都会增加，而镜面反射将取代衍射成为重要的传播通道。因此，由于缺乏关于基站和接收器设备的周围环境的确定性信息，用于生成移动网络并且基于从测量获得的统计参数分布的当前信道模型协议变得不足。这些挑战需要用于通道建模的新建模工具，该工具在短波长/高频限制下工作，并结合室内和室外的特定地点细节。除了纯粹的统计方法之外，在这种情况下使用的典型高频工具都基于光线追踪技术。当多重反射占主导地位时，光线追踪可能会变得具有挑战性。在此背景下，基于网格的能量流方法近年来变得流行。在本研究中，我们从准确性和效率方面比较了这两种方法，并将它们与传统的功率平衡方法进行了基准测试。