M. Giordani and M. Zorzi, "Non-terrestrial networks in the 6G era: Challenges and opportunities, " IEEE Network, vol. 35, no. 2, pp. 244-251, 2021.
J. Wigard et al., "Ubiquitous 6G service through non-terrestrial networks, " IEEE Wireless Communications, vol. 30, no. 6, pp. 12-18, 2023.
T. S. Abdu et al., "Demand-aware onboard payload processor management for high-throughput NGSO satellite systems, " IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 5, pp. 4883-4899, 2023.
A. F. Molisch et al., "Hybrid beamforming for massive MIMO: A survey, " IEEE Communications Magazine, vol. 55, no. 9, pp. 134-141, 2017.
A. Arora, C. G. Tsinos, M. R. B. Shankar, S. Chatzinotas, and B. Ottersten, "Efficient algorithms for constant-modulus analog beamforming, " IEEE Transactions on Signal Processing, vol. 70, pp. 756-771, 2022.
X. Zhang, A. F. Molisch, and S.-Y. Kung, "Variable-phase-shift-based RF-baseband codesign for MIMO antenna selection, " IEEE Transactions on Signal Processing, vol. 53, no. 11, pp. 4091-4103, 2005.
S. Kutty and D. Sen, "Beamforming for millimeter wave communications: An inclusive survey, " IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 949-973, 2016.
Z. Chen, H. Li, G. Cui, and M. Rangaswamy, "Adaptive transmit and receive beamforming for interference mitigation, " IEEE Signal Processing Letters, vol. 21, no. 2, pp. 235-239, 2014.
G. Toso, P. Angeletti, and C. Mangenot, "Multibeam antennas based on phased arrays: An overview on recent ESA developments, " in Proc. of the 8th European Conference on Antennas and Propagation (EuCAP-2014), The Hague, Netherlands, 2014, pp. 178-181.
J. A. Vásquez-Peralvo et al., "Flexible beamforming for direct radiating arrays in satellite communications, " IEEE Access, vol. 11, pp. 79684-79696, 2023.
L. Baggen and S. Holzwarth, "Satcom-on-the-move: Digital beam forming versus phased array, " in Proc. of the 8th European Conference on Antennas and Propagation (EuCAP-2014), The Hague, Netherlands, 2014, pp. 2610-2614.
C. D. Schuman et al., "Opportunities for neuromorphic computing algorithms and applications, " Nature Computational Science, vol. 2, pp. 10-19, 2022.
F. Ortiz et al., "Towards the application of neuromorphic computing to satellite communications, " in Proc. of the 39th International Communications Satellite Systems Conference (ICSSC-2022), Stresa, Italy, 2022, pp. 91-97.
"NASA TechEdSat-13 Mission: The First Flight of a Neuromorphic Processor, " https://ntrs. nasa. gov/citations/20220005780, Apr. 2022.
ESA FPE NeuroSat Project, "The Application of Neuromorphic Processors to Satcom Applications, " https://connectivity. esa. int/projects/neurosat, May 2022.
R. Tibshirani, "Regression shrinkage and selection via the LASSO, " Journal of the Royal Statistical Society. Series B (Methodological), vol. 58, no. 1, pp. 267-288, 1996.
J. Capon, "High-resolution frequency-wavenumber spectrum analysis, " Proceedings of the IEEE, vol. 57, no. 8, pp. 1408-1418, 1969.
J. F. de Andrade, M. L. R. de Campos, and J. A. Apolinário Jr., "L1-constrained normalized LMS algorithms for adaptive beamforming, " IEEE Transactions on Signal Processing, vol. 63, no. 24, pp. 6524-6539, 2015.
J. F. de Andrade, M. L. R. de Campos, and J. A. Apolinário Jr., "A complex version of the LASSO algorithm and its application to beamforming, " in Proc. of the 7th International Telecommunications Symposium (ITS-2010), Manaus, Brazil, 2010, pp. 1-5.
"ADS-B Exchange-World's largest co-op of unfiltered flight data, " https://www. adsbexchange. com/data/, Feb. 2024.
M. Davies, "Intel advances neuromorphic with Loihi 2, new Lava software framework and new partners, " https://www. intel. com/content/www/us/en/newsroom/news/intel-unveils-neuromorphic-loihi-2-lava-software. html, Sep. 2021, Accessed: 06/07/2022.
3GPP TR 38. 821, "3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Solutions for NR to support non-terrestrial networks (NTN) (Release 16), " in V16. 2. 0 (2023-03). 3GPP, 2023.
M. Grant and S. Boyd, "CVX: Matlab software for disciplined convex programming, version 2. 1, " http://cvxr. com/cvx, Mar. 2014.
P. T. P. Tang, T.-H. Lin, and M. Davies, "Sparse coding by spiking neural networks: Convergence theory and computational results, " May 2017, arXiv: 1705. 05475.