# Finding Better Precoding in Massive MIMO using Optimization Approach

@article{Bobrov2021FindingBP, title={Finding Better Precoding in Massive MIMO using Optimization Approach}, author={Evgeny Bobrov and Dmitry Kropotov and Sergey Troshin and Danila Zaev}, journal={ArXiv}, year={2021}, volume={abs/2107.13440} }

The paper studies the multi-user precoding problem as a non-convex optimization problem for wireless MIMO systems. In our work, we approximate the target Spectral Efficiency function with a novel computationally simpler function. Then, we reduce the precoding problem to an unconstrained optimization task using a special differential projection method and solve it by the Quasi-Newton L-BFGS iterative procedure to achieve gains in capacity. We are testing the proposed approach in several… Expand

#### One Citation

Adaptive Regularized Zero-Forcing Beamforming in Massive MIMO with Multi-Antenna Users

- Computer Science, Mathematics
- ArXiv
- 2021

This work proposes a special kind of regularization matrix with different regularizations for different UE, using singular values of multi-antenna users, and shows the results in comparison with other linear Precoding algorithms on simulations with the Quadriga channel model. Expand

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