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Weighted MMSE Optimization of Conjugate Beamforming for Cell-Free Massive MIMO

Author(s)
Yu, DaesungLee, HoonHong, Seung-EunPark, Seok-Hwan
Issued Date
2021-08-17
DOI
10.1109/icufn49451.2021.9528826
URI
https://scholarworks.unist.ac.kr/handle/201301/77090
Fulltext
https://ieeexplore.ieee.org/document/9528826
Citation
2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)
Abstract
Cell-free massive multiple-input multiple-output (MIMO) systems are envisioned to achieve the improved spectral efficiency by supporting users via nearby access points (APs). This work addresses the optimization of beamforming weights for cell-free massive MIMO systems. The connectivity level constraints are taken into account to accommodate finite-rate fronthaul links. The minimum rate maximization problem is tackled by the weighted minimum mean squared error (WMMSE) algorithm. Numerical results show that the proposed scheme achieves significantly improved performance than a baseline scheme in overall signal-to-noise ratio (SNR) regime.
Publisher
IEEE

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