Y. Wang, V. N. Ha, K. Ntontin, W. Wang et al., “Statistical CSI-based distributed precoding for multi-satellite cooperative transmission,” in Proc. IEEE Veh. Technol. Conf. (VTC2025-Fall), Chengdu, China, Oct. 2025, to appear.
Ericsson, “Ericsson joins MSSA to advance a non-terrestrial network ecosystem,” Sep 2024, accessed: 2024-12-06. [Online]. Available: https://www.ericsson.com/en/news/2024/9/ericsson-joins-mssa-toadvance-a-non-terrestrial-network-ecosystem
K. Ntontin, E. Lagunas, J. Querol, J. U. Rehman et al., “A vision, survey, and roadmap toward space communications in the 6G and beyond era,” Proc. IEEE, pp. 1–37, 2025.
W. Wang, Y. Zhu, Y. Wang, R. Ding et al., “Toward mobile satellite internet: The fundamental limitation of wireless transmission and enabling technologies,” Engineering, 2025. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2095809925003698
3GPP, “TR 38.811 v15.4.0: Study on new radio (NR) to support non-terrestrial networks,” 3GPP, Tech. Rep. TR 38.811 V15.4.0, Sep. 2020.
3GPP, “TR 38.821 v16.2.0: Solutions for NR to support non-terrestrial networks (NTN),” 3GPP, Tech. Rep. TR 38.821 V16.2.0, Mar. 2023.
H. Al-Hraishawi, H. Chougrani, S. Kisseleff, E. Lagunas et al., “A survey on nongeostationary satellite systems: The communication perspective,” IEEE Commun. Surv. Tutor., vol. 25, no. 1, pp. 101–132, First Quarter 2023.
B. D. Filippo, R. Campana, A. Guidotti, C. Amatetti et al., “Cell-free MIMO in 6G NTN with AI-predicted CSI,” in Proc. IEEE 25th Int. Workshop Signal Process. Adv. Wireless Commun. (SPAWC), Sep. 2024, pp. 631–635.
M. Á. Vázquez, M. R. B. Shankar, C. I. Kourogiorgas, P.-D. Arapoglou et al., “Precoding, scheduling, and link adaptation in mobile interactive multibeam satellite systems,” IEEE J. Sel. Areas Commun., vol. 36, no. 5, pp. 971–980, 2018.
X. Zhang, J. Wang, C. Jiang, C. Yan et al., “Robust beamforming for multibeam satellite communication in the face of phase perturbations,” IEEE Trans. Veh. Technol., vol. 68, no. 3, pp. 3043–3047, 2019.
W. Wang, L. Gao, R. Ding, J. Lei et al., “Resource efficiency optimization for robust beamforming in multi-beam satellite communications,” IEEE Trans. Veh. Technol., vol. 70, no. 7, pp. 6958–6968, 2021.
L. You, K.-X. Li, J. Wang, X. Gao et al., “Massive MIMO transmission for LEO satellite communications,” IEEE J. Sel. Areas Commun., vol. 38, no. 8, pp. 1851–1865, 2020.
S. Wu, Y. Wang, G. Sun, L. You et al., “Energy and computational efficient precoding for LEO satellite communications,” in Proc. IEEE Glob. Commun. Conf. (GLOBECOM), Dec. 2023, pp. 1872–1877.
Y. Liu, Y. Wang, J. Wang, L. You et al., “Robust downlink precoding for LEO satellite systems with per-antenna power constraints,” IEEE Trans. Veh. Technol., vol. 71, no. 10, pp. 10 694–10 711, Oct. 2022.
M. Alsenwi, E. Lagunas, and S. Chatzinotas, “Robust beamforming for massive MIMO LEO satellite communications: A risk-aware learning framework,” IEEE Trans. Veh. Technol., vol. 73, no. 5, pp. 6560–6571, May 2024.
M. Ying, X. Chen, Q. Qi, and W. Gerstacker, “Deep learning-based joint channel prediction and multibeam precoding for LEO satellite internet of things,” IEEE Trans. Wireless Commun., vol. 23, no. 10, pp. 13 946–13 960, Oct. 2024.
M. Y. Abdelsadek, G. K. Kurt, and H. Yanikomeroglu, “Distributed massive MIMO for LEO satellite networks,” IEEE Open J. Commun. Soc., vol. 3, pp. 2162–2177, Nov. 2022.
M. Y. Abdelsadek, G. Karabulut-Kurt, H. Yanikomeroglu, P. Hu et al., “Broadband connectivity for handheld devices via LEO satellites: Is distributed massive MIMO the answer?” IEEE Open J. Commun. Soc., vol. 4, pp. 713–726, Mar. 2023.
X. Zhang, S. Sun, M. Tao, Q. Huang et al., “Multi-satellite cooperative networks: Joint hybrid beamforming and user scheduling design,” IEEE Trans. Wireless Commun., pp. 7938 – 7952, Jul. 2024.
Z. Xiang, X. Gao, K.-X. Li, and X.-G. Xia, “Massive MIMO downlink transmission for multiple LEO satellite communication,” IEEE Trans. Commun., vol. 72, no. 6, pp. 3352–3364, Jun. 2024.
V. N. Ha, D. H. N. Nguyen, J. C.-M. Duncan, J. L. Gonzalez-Rios et al., “User-centric beam selection and precoding design for coordinated multiple-satellite systems,” in Proc. IEEE 35th Int. Symp. Personal, Indoor and Mobile Radio Commun. (PIMRC), Sept. 2024, pp. 1–6.
X. Chen and Z. Luo, “Asynchronous interference mitigation for LEO multi-satellite cooperative systems,” IEEE Trans. Wireless Commun., vol. 23, no. 10, pp. 14 956–14 971, Oct. 2024.
X. Chen and Z. Luo, “Cooperative WMMSE precoding for asynchronous LEO multi-satellite communications,” in Proc. IEEE Int. Conf. Commun. Workshops (ICC Workshops), Jun. 2024, pp. 1691–1696.
S. Wu, Y. Wang, G. Sun, W. Wang et al., “Distributed beamforming for multiple LEO satellites with imperfect delay and Doppler compensations: Modeling and rate analysis,” IEEE Trans. Veh. Technol., pp. 1–6, May 2025, Early Access.
L. Bai, C.-X. Wang, G. Goussetis, S. Wu et al., “Channel modeling for satellite communication channels at Q-band in high latitude,” IEEE Access, vol. 7, pp. 137 691–137 703, 2019.
W. Wang, Y. Tong, L. Li, A.-A. Lu et al., “Near optimal timing and frequency offset estimation for 5G integrated LEO satellite communication system,” IEEE Access, vol. 7, pp. 113 298–113 310, 2019.
K. Seo, J. Jeon, G. Lee, J. Lee et al., “Deep sequential feature learning for phase noise compensation in sub-thz systems,” IEEE Trans. Commun., vol. 73, no. 9, pp. 7568–7583, sep 2025.
M. Yuan, H. Wang, H. Yin, and D. He, “Alternating optimization based hybrid transceiver designs for wideband millimeter-wave massive multiuser MIMO-OFDM systems,” IEEE Trans. Wireless Commun., vol. 22, no. 12, pp. 9201–9217, Dec. 2023.
E. Björnson, M. Bengtsson, and B. Ottersten, “Optimal multiuser transmit beamforming: A difficult problem with a simple solution structure [lecture notes],” IEEE Signal Process. Mag., vol. 31, no. 4, pp. 142–148, Jul. 2014.
M. Bengtsson and B. Ottersten, “Optimal downlink beamforming using semidefinite optimization,” in Proc. 37th Annual Allerton Conference on Communication, Control, and Computing, Sep. 1999, pp. 987–996, invited paper.
M. Bengtsson and B. Ottersten, “Optimal and suboptimal transmit beamforming,” in Handbook of Antennas in Wireless Communications, L. C. Godara, Ed. CRC Press, Aug. 2001.
S. S. Christensen, R. Agarwal, E. De Carvalho, and J. M. Cioffi, “Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design,” IEEE Trans. Wireless Commun., vol. 7, no. 12, pp. 4792–4799, Dec. 2008.
Q. Shi, M. Razaviyayn, Z.-Q. Luo, and C. He, “An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,” IEEE Trans. Signal Process., vol. 59, no. 9, pp. 4331–4340, Sept. 2011.
AST SpaceMobile, “AST SpaceMobile achieves space-based 5G cellular broadband connectivity from everyday smartphones, another historic world first,” Sep 2023, accessed: 2024-12-06. https://ast-science.com/2023/09/19/ast-spacemobile-achieves-spacebased-5g-cellular-broadband-connectivity-from-everyday-smartphones-another-historic-world-first.
Y. Wang, H. Hou, X. Yi, W. Wang et al., “Towards unified AI models for MU-MIMO communications: A tensor equivariance framework,” IEEE Trans. Wireless Commun., Jun. 2025, Early Access.
J. Zhang, Y. Wang, X. Yi, W. Wang et al., “Unlocking symbol-level precoding efficiency through tensor equivariant neural network,” arXiv preprint arXiv:2510.02108, Oct. 2025. [Online]. Available: https://arxiv.org/abs/2510.02108
M. Zaheer, S. Kottur, S. Ravanbakhsh, B. Poczos et al., “Deep sets,” Neural Inf. Proces. Syst. (NeurIPS), Long Beach, CA, United states, Dec. 2017.
K. Pratik, B. D. Rao, and M. Welling, “RE-MIMO: Recurrent and permutation equivariant neural MIMO detection,” IEEE Trans. Signal Process., vol. 69, pp. 459–473, Jan. 2021.
Y. Wang, H. Hou, W. Wang, X. Yi et al., “Soft demodulator for symbol-level precoding in coded multiuser MISO systems,” IEEE Trans. Wireless Commun., vol. 23, no. 10, pp. 14 819–14 835, Oct. 2024.
J. Kim, H. Lee, S.-E. Hong, and S.-H. Park, “A bipartite graph neural network approach for scalable beamforming optimization,” IEEE Trans. Wireless Commun., vol. 22, no. 1, pp. 333–347, Jan. 2023.
M. M. Bronstein, J. Bruna, T. Cohen, and P. Veličković, “Geometric deep learning: Grids, groups, graphs, geodesics, and gauges,” arXiv preprint arXiv:2104.13478, Apr. 2021, available: https://arxiv.org/abs/2104.13478.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit et al., “Attention is all you need,” in Adv. Neural Inf. Process. Syst. (NeurIPS), vol. 30, 2017.
J. Zhu, X. Chen, K. He, Y. LeCun et al., “Transformers without normalization,” in Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2025.
C. Yun, S. Bhojanapalli, A. S. Rawat, S. J. Reddi et al., “Are transformers universal approximators of sequence-to-sequence functions?” arXiv preprint arXiv:1912.10077, Dec. 2019, available: https://arxiv.org/abs/1912.10077.
G. Huang, Z. Liu, L. V. D. Maaten, and K. Q. Weinberger, “Densely connected convolutional networks,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jul. 2017, pp. 4700–4708.
J. Hartford, D. Graham, K. Leyton-Brown, and S. Ravanbakhsh, “Deep models of interactions across sets,” in Int. Conf. Mach. Learn. (ICML), vol. 5, Stockholm, Sweden, Jul. 2018, pp. 3050–3061.
J. Lee, Y. Lee, J. Kim, A. Kosiorek et al., “Set transformer: A framework for attention-based permutation-invariant neural networks,” in Int. Conf. Mach. Learn. (ICML), vol. 97, Jun. 2019, pp. 3744–3753.
H. He, S. Jin, C.-K. Wen, F. Gao et al., “Model-driven deep learning for physical layer communications,” IEEE Wireless Communications, vol. 26, no. 5, pp. 77–83, 2019.
A. Goyal and Y. Bengio, “Inductive biases for deep learning of higher-level cognition,” Proc. Roy. Soc. A, vol. 478, p. 20210068, 2022. [Online]. Available: https://royalsocietypublishing.org/doi/10.1098/rspa.2021.0068
F. Burkhardt, S. Jaeckel, E. Eberlein, and R. Prieto-Cerdeira, “QuaDRiGa: A MIMO channel model for land mobile satellite,” in Proc. 8th European Conf. Antennas Propag. (EuCAP 2014), Apr. 2014, pp. 1274–1278.
S. Jaeckel, L. Raschkowski, and L. Thieley, “A 5G-NR satellite extension for the QuaDRiGa channel model,” in Proc. Joint Eur. Conf. Netw. Commun. & 6G Summit (EuCNC/6G Summit), 2022, pp. 142–147.
Fraunhofer Heinrich Hertz Institute, “QuaDRiGa: Quasi deterministic radio channel generator user manual and documentation,” ver. 2.8.1. [Online]. Available: https://quadriga-channel-model.de/download/534245, Dec. 2023, accessed: Oct. 28, 2025.
“Federal communications commission; amendment to pending application for the SpaceX Gen2 NGSO satellite system,” FCC, Washington, D.C., Tech. Rep. File No. SAT-AMD-2021, August 2021, available: https://fcc.report/IBFS/SAT-AMD-20210818-00105/12943361.pdf.
L. Yu, J. Wan, K. Zhang, F. Teng et al., “Spaceborne multibeam phased array antennas for satellite communications,” IEEE Aerosp. Electron. Syst. Mag., vol. 38, no. 3, pp. 28–47, Mar. 2023.
Z. Liu, Y. Wang, T. Fang, W. Wang et al., “Time-continuous frequency allocation for feeder links of mega constellations with multi-antenna gateway stations,” arXiv preprint arXiv:2505.12429, May 2025. [Online]. Available: https://arxiv.org/abs/2505.12429
S. Kisseleff, E. Lagunas, J. Krivochiza, J. Querol et al., “Centralized gateway concept for precoded multi-beam GEO satellite networks,” in Proc. IEEE Veh. Technol. Conf. (VTC2021-Fall), Norman, OK, USA, Sept. 2021.
J. Krause, “Non-terrestrial networks (NTN),” [Online]. Available: https://www.3gpp.org/technologies/ntn-overview, 3GPP, May 2024, last updated: Jul. 04, 2025, Accessed: Oct. 28, 2025.
M. Khoshnevisan, K. Jayasinghe, R. Chen, A. Davydov et al., “Enhanced reliability and capacity with multi-TRP transmission,” IEEE Commun. Stand. Mag., vol. 6, no. 1, pp. 13–19, Mar 2022.
R. De Gaudenzi, G. Bacci, M. Luise, L. Sanguinetti et al., “Applicability of CF-MIMO precoding to a formation of arrays (FoA) for mobile satellite communications,” IEEE Trans. Aerosp. Electron. Syst., vol. 61, no. 2, Apr. 2025.
S. Wu, G. Sun, Y. Wang, L. You et al., “Low-complexity user scheduling for LEO satellite communications,” IET Commun., vol. 17, no. 12, pp. 1368–1383, May 2023.