The upper mid-band (FR3) has been recently attracting interest for new generation of mobile networks, as it provides a promising balance between spectrum availability and coverage, which are inherent limitations of the sub 6GHz and millimeter wave bands, respectively. In order to efficiently design and optimize the network, channel modeling plays a key role since FR3 systems are expected to operate at multiple frequency bands. Data-driven methods, especially generative adversarial networks (GANs), can capture the intricate relationships among data samples, and provide an appropriate tool for FR3 channel modeling. In this work, we present the architecture, link state model, and path generative network of GAN-based FR3 channel modeling. The comparison of our model greatly matches the ray-tracing simulated data.

翻译：上中频段（FR3）近期引起新一代移动网络的关注，因其在频谱可用性与覆盖范围之间提供了有前景的平衡——这两个方面分别是sub 6GHz频段和毫米波频段的固有局限。为高效设计和优化网络，信道建模发挥着关键作用，因为FR3系统预计将在多个频段运行。数据驱动方法，特别是生成对抗网络（GANs），能够捕捉数据样本间的复杂关系，为FR3信道建模提供合适的工具。本研究提出了基于GAN的FR3信道建模的架构、链路状态模型及路径生成网络。我们的模型与射线追踪仿真数据的对比结果高度吻合。