Joint design of hybrid beamforming and reflection coefficients for reconfigurable intelligent surface aided mmWave communication systems
Author:
Funder
Technology Key Project of Guangdong Province
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s11276-023-03622-z.pdf
Reference41 articles.
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2. Abdallah, A., Celik, A., Mansour, M. M., & Eltawil, A. M. (2021). Deep learning-based frequency-selective channel estimation for hybrid mmwave MIMO systems. IEEE Transactions on Wireless Communications, 21(6), 3804–3821.
3. Swindlehurst, A. L., Ayanoglu, E., Heydari, P., & Capolino, F. (2014). Millimeter-wave massive MIMO: The next wireless revolution? IEEE Communications Magazine, 52(9), 56–62.
4. Niu, Y., Li, Y., Jin, D., Su, L., & Vasilakos, A. V. (2015). A survey of millimeter wave communications (mmwave) for 5g: Opportunities and challenges. Wireless Networks, 21, 2657–2676.
5. Khazali, A., Shayesteh, M. G., & Kalbkhani, H. (2022). User grouping and power allocation for energy efficiency maximization in mmwave-noma heterogeneous networks. Wireless Networks, 28(6), 2403–2420.
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