Design of Hybrid Beamforming for Multiuser MIMO mmWave Systems Using Deep Learning
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11277-024-11159-3.pdf
Reference18 articles.
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2. Alkhateeb, A., El Ayach, O., Leus, G., & Heath, R. W. (2014). Channel estimation and hybrid precoding for millimeter wave cellular systems. IEEE Journal of Selected Topics in Signal Processing, 8(5), 831–846.
3. Lin, T., Cong, J., Zhu, Y., Zhang, J., & Letaief, K. B. (2019). Hybrid beamforming for millimeter wave systems using the MMSE criterion. IEEE Transactions on Communications, 67(5), 3693–3708.
4. Yu, X., Shen, J. C., Zhang, J., & Letaief, K. B. (2016). Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems. IEEE Journal of Selected Topics in Signal Processing, 10(3), 485–500.
5. Sohrabi, F., & Yu, W. (2016). Hybrid digital and analog beamforming design for large-scale antenna arrays. IEEE Journal of Selected Topics in Signal Processing, 10(3), 501–513.
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