Performance Analysis of Energy-Efficient Hybrid Precoding for mmWave Massive MIMO System
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-13-6264-4_11
Reference15 articles.
1. Zhang, J., Dai, L., He, Z., Jin, S., Li, X.: Performance analysis of mixed-ADC massive MIMO systems over rician fading channels. IEEE J. Sel. Areas Commun. 35(6), 1327–1338 (2017)
2. Alkhateeb, A., Leus, G., Heath, R.W.: Limited feedback hybrid precoding for multi-user millimeter wave systems. IEEE Trans. Wirel. Commun. 14(11), 6481–6494 (2015)
3. Mendez-Rial, R., Rusu, C., Alkhateeb, A., Gonzalez-Prelcic, N., Heath, R.W.: Channel estimation and hybrid combining for mmWave: Phase shifters or switches? In: Information Theory and Applications Workshop, pp. 90–97 (2015)
4. Gao, X., Dai, L., Sun, Y., Han, S., Chih-Lin, I.: Machine learning inspired energy-efficient hybrid precoding for mmWave massive MIMO systems. In: IEEE International Conference on Communications, pp. 1–6 (2017)
5. Zeng, Y., Zhang, R.: Millimeter wave MIMO with lens antenna array: a new path division multiplexing paradigm. IEEE Trans. Commun. 64(4), 1557–1571 (2016)
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