Author:
Venkateswarlu Chittetti,Rao Nandanavanam Venkateswara
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Reference33 articles.
1. Kang, X. F., Liu, Z. H., & Yao, M. (2022). Deep learning for joint pilot design and channel estimation in MIMO-OFDM systems. Sensors, 22(11), 4188.
2. Mashhadi, M. B., Yang, Q., Gündüz, D. (2020). CNN-based analog CSI feedback in FDD MIMO-OFDM systems. In ICASSP 2020–2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8579–8583. IEEE.
3. Rakshit, M., Bhattacharjee, S., Garai, G., & Chakrabarti, A. (2020). A novel distributive population-based differential evolution algorithm for SLM scheme to reduce PAPR in massive MIMO-OFDM systems. SN Computer Science., 1(5), 1–7.
4. Zhang, Y., Zhu, X., Liu, Y., Jiang, Y., Guan, Y. L., & Lau, V. K. (2022). Hierarchical BEM based channel estimation with very low pilot overhead for high mobility MIMO-OFDM systems. IEEE Transactions on Vehicular Technology, 1, 15.
5. Ahmed, A. S., Hamdi, M. M., Abood, M. S., Khaleel, A. M., Fathy, M., & Khaleefah, S. H. (2022). Channel Estimation using LS and MMSE Channel Estimation Techniques for MIMO-OFDM Systems. In 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), pp. 1–6. IEEE.