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 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
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
Channel Estimation and Joint Beamforming Design for Multi-IRS MIMO systems
Channel Estimation and Performance Evaluation of Multi-IRS Aided MIMO Communication System
Simulation code for V. Kumar, M. Chafii, A. L. Swindlehurst, L. -N. Tran and M. F. Flanagan, "SCA-Based Beamforming Optimization for IRS-Enabled Secure Integrated Sensing and Communication," GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 2023, pp. 5992-5997, doi: 10.1109/GLOBECOM54140.2023.10437283.
PyTorch implementation of multi-modality sensing in 60 GHz mmWave beamforming for connected vehicles.
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。
Malfunctioning Industrial Machine Investigation and Inspection
PyTorch implementation of position aware mmWave beamforming for V2V communications
Utilizes Phased Arrays to implement a noise cancellation system for urban apartments.
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