On the interference cancellation by reduced channel zero forcing class of precodings in massive MIMO systems
Author:
Funder
Huawei Technologies
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11235-023-01005-5.pdf
Reference34 articles.
1. Bai, Z., Badic, B., Iwelski, S., Scholand, T., Balraj, R., Bruck, G., & Jung, P. (2011). On the equivalence of MMSE and IRC receiver in MU-MIMO systems. IEEE Communications Letters, 15(12), 1288–1290.
2. Björnson, E., Bengtsson, M., & Ottersten, B. (2014). Optimal multiuser transmit beamforming: A difficult problem with a simple solution structure [lecture notes]. IEEE Signal Processing Magazine, 31(4), 142–148.
3. Björnson, E., Hoydis, J., & Sanguinetti, L. (2017). Massive MIMO networks: Spectral, energy, and hardware efficiency. Foundations and Trends in Signal Processing, 11(3–4), 154–655.
4. Bobrov, E., Chinyaev, B., Kuznetsov, V., Lu, H., Minenkov, D., Troshin, S., Yudakov, D., & Zaev, D. (2021) . Adaptive regularized zero-forcing beamforming in massive MIMO with multi-antenna users. arXiv preprint arXiv:2107.00853
5. Bobrov, E., Chinyaev, B., Kuznetsov, V., Minenkov, D., & Yudakov, D. (2022) . Power allocation algorithms for massive MIMO systems with multi-antenna users. arXiv preprint arXiv:2201.08068
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