2000 character limit reached
Channel Modeling for FR3 Upper Mid-band via Generative Adversarial Networks (2404.17069v1)
Published 25 Apr 2024 in cs.IT, cs.LG, eess.SP, and math.IT
Abstract: 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.
- S. Kang, M. Mezzavilla, S. Rangan, A. Madanayake, S. B. Venkatakrishnan, G. Hellbourg, M. Ghosh, H. Rahmani, and A. Dhananjay, “Cellular wireless networks in the upper mid-band,” IEEE Open J. Commun. Soc., Mar. 2024.
- J. Huang, C.-X. Wang, H. Chang, J. Sun, and X. Gao, “Multi-frequency multi-scenario millimeter wave MIMO channel measurements and modeling for B5G wireless communication systems,” IEEE J. Sel. Areas Commun., vol. 38, no. 9, pp. 2010–2025, Sept. 2020.
- Z. Cui, C. Briso-Rodriguez, K. Guan, Z. Zhong, and F. Quitin, “Multi-frequency air-to-ground channel measurements and analysis for UAV communication systems,” IEEE Access, vol. 8, pp. 110 565–110 574, Jun. 2020.
- I. Gulrajani, F. Ahmed, M. Arjovsky, V. Dumoulin, and A. Courville, “Improved training of Wasserstein GANs,” Dec. 2017, [Online]. Available: https://arxiv.org/abs/1704.00028.
- M. Arjovsky, S. Chintala, and L. Bottou, “Wasserstein generative adversarial networks,” in Proc. PMLR International conference on machine learning, Sydney, Australia, 2017, pp. 214–223.
- W. Xia, S. Rangan, M. Mezzavilla, A. Lozano, G. Geraci, V. Semkin, and G. Loianno, “Millimeter wave channel modeling via generative neural networks,” in Proc. IEEE Globecom Workshops, Taipei, Taiwan, 2020, pp. 1–6.
- Y. Hu, M. Yin, W. Xia, S. Rangan, and M. Mezzavilla, “Multi-frequency channel modeling for millimeter wave and THz wireless communication via generative adversarial networks,” in Proc. IEEE 56th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2022, pp. 670–676.
- 3GPP Technical Report 38.901, “Study on channel model for frequencies from 0.5 to 100 GHz (Release 16),” Dec. 2019.
- M. R. Akdeniz, Y. Liu, M. K. Samimi, S. Sun, S. Rangan, T. S. Rappaport, and E. Erkip, “Millimeter wave channel modeling and cellular capacity evaluation,” IEEE J. Sel. Areas Commun., vol. 32, no. 6, pp. 1164–1179, Jun. 2014.
- S. Rangan, Y. Hu, M. Yin, W. Xia, and M. Mezzavilla, “Multi-freqeuncy millimeter wave channel modeling via generative adversarial network, GitHub repository,” Dec. 2021, [Online]. Available: https://github.com/klmyyaqihu/mmwchanmod-GAN.
- Y. Hu, M. Yin, S. Rangan, and M. Mezzavilla, “Parametrization and estimation of high-rank line-of-sight MIMO channels with reflected paths,” IEEE Trans. Wireless Commun., Apr. 2024.
- M. Yin, A. K. Veldanda, A. Trivedi, J. Zhang, K. Pfeiffer, Y. Hu, S. Garg, E. Erkip, L. Righetti, and S. Rangan, “Millimeter wave wireless assisted robot navigation with link state classification,” IEEE Open J. Commun. Soc., vol. 3, pp. 493–507, Mar. 2022.
- W. Khawaja, O. Ozdemir, and I. Guvenc, “UAV air-to-ground channel characterization for mmWave systems,” in Proc. IEEE VTC-Fall, Toronto, ON, Canada, 2017.
- Remcom, [Online]. Available: https://www.remcom.com.
- ITU-R, “Effects of building materials and structures on radiowave propagation above about 100 MHz, Recommendation ITU-R P.2040-2,” 2015.
- “GeoPipe: Build the future with interactive 3D models of the real world,” [Online]. Available: https://www.geopipe.ai/.
- 3GPP Technical Report 38.141, “Base station (BS) conformance testing part 2: Radiated conformance testing,” 2017.
- 3GPP Technical Report 37.840, “Study of radio frequency (RF) and electromagnetic compatibility (EMC) requirements for active antenna array system (AAS) base station,” 2019.