APA (7th ed.) Citation

Wei, T., Chen, W., Tang, K., Zheng, B., Feng, W., Che, W., & Xue, Q. (2025). Machine Learning-Enabled RIS-Assisted MmWave NOMA Systems: RIS Partitioning, Beamforming Design, and Power Allocation. IEEE transactions on communications, 1. https://doi.org/10.1109/TCOMM.2025.3554673

Chicago Style (17th ed.) Citation

Wei, Tongyi, Weizhi Chen, Kun Tang, Beixiong Zheng, Wenjie Feng, Wenquan Che, and Quan Xue. "Machine Learning-Enabled RIS-Assisted MmWave NOMA Systems: RIS Partitioning, Beamforming Design, and Power Allocation." IEEE Transactions on Communications 2025: 1. https://doi.org/10.1109/TCOMM.2025.3554673.

MLA (9th ed.) Citation

Wei, Tongyi, et al. "Machine Learning-Enabled RIS-Assisted MmWave NOMA Systems: RIS Partitioning, Beamforming Design, and Power Allocation." IEEE Transactions on Communications, 2025, p. 1, https://doi.org/10.1109/TCOMM.2025.3554673.