Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems
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Updated
Nov 25, 2020 - Python
Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems
Simulation code for "A Novel SCA-Based Method for Beamforming Optimization in IRS/RIS-Assisted MU-MISO Downlink," by V. Kumar, R. Zhang, M. D. Renzo and L. -N. Tran, IEEE Wireless Communications Letters, doi: 10.1109/LWC.2022.3224316.
Simulation code for "Fast Converging Algorithm for Weighted Sum Rate Maximization in Multicell MISO Downlink" by Le-Nam Tran, Muhammad Fainan Hanif, Antti Tolli, Markku Juntti, IEEE Signal Processing Letters 19.12 (2012): 872-875
TMYTEK general API examples
Simulation code for "Fast adaptive minorization-maximization procedure for beamforming design of downlink NOMA systems," IEEE Trans. Veh. Technol., vol. 69, no. 7, pp. 8023-8027, Jul. 2020 by O. Lyons, M. F. Hanif, M. Juntti, L.-N. Tran
Channel Estimation and Joint Beamforming Design for Multi-IRS MIMO systems
Channel Estimation and Performance Evaluation of Multi-IRS Aided MIMO Communication System
物理层波束成形预编码的代码实现,用于提升通信系统的安全性。
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