Author:
Wan Liangtian,He Jifeng,Liu Kaihui,Sun Lu,Wang Xianpeng
Publisher
Springer Nature Singapore
Reference12 articles.
1. Rusek, F., Persson, D., Lau, B.K., Larsson, E.G., Marzetta, T.L., Edfors, O., Tufvesson, F.: Scaling up MIMO: opportunities and challenges with very large arrays. IEEE Signal Process. Mag. 30(1), 40–60 (2012)
2. Larsson, E.G., Edfors, O., Tufvesson, F., Marzetta, T.L.: Massive MIMO for next generation wireless systems. IEEE Commun. Mag. 52(2), 186–195 (2014)
3. Wan, L., Liu, K., Zhang, W.: Deep learning-aided off-grid channel estimation for millimeter wave cellular systems. IEEE Trans. Wireless Commun. 21(5), 3333–3348 (2022)
4. New, S.: Study on artificial intelligence (AI)/machine learning (ML) for NR air interface. Machine Learning (ML) for NR Air Interface, document SID New RP-213599, 3rd Generation Partnership Project (2021)
5. Liao, Y., Hua, Y., Dai, X., Yao, H., Yang, X.: Chanestnet: a deep learning based channel estimation for high-speed scenarios. In: ICC 2019-2019 IEEE International Conference on Communications (ICC), pp. 1–6. IEEE (2019)