mlsanityData to 14 Oct 2026

Channel Modeling for FR3 Upper Mid-band via Generative Adversarial Networks

arXiv 2404.17069 ↗First posted 25 Apr 2024cs.IT cs.LG eess.SPcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 8 of its 18 references that are in the map. First posted on arXiv 25 Apr 2024.

Builds on

8 of 18 references.

References · 8

  1. 2017Improved Training of Wasserstein GANscited by 2,235
  2. 2013Millimeter Wave Channel Modeling and Cellular Capacity Evaluationcited by 29
  3. 2021Millimeter Wave Wireless Assisted Robot Navigation with Link State Classificationcited by 7
  4. 2020Millimeter Wave Channel Modeling via Generative Neural Networkscited by 6
  5. 2023Cellular Wireless Networks in the Upper Mid-Bandcited by 6
  6. 2022Multi-Frequency Channel Modeling for Millimeter Wave and THz Wireless Communication via Generative Adversarial Networkscited by 3
  7. 2020Multi-Frequency Multi-Scenario Millimeter Wave MIMO Channel Measurements and Modeling for B5G Wireless Communication Systemscited by 2
  8. 2022Parametrization and Estimation of High-Rank Line-of-Sight MIMO Channels with Reflected Pathscited by 2

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Citing papers per year: 2026: 1.

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