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alternating-minimization-algorithms-for-hybrid-precoding-in-millimeter-wave-mimo-systems

Simulation codes for "Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems," by Xianghao Yu, Juei-Chin Shen, Jun Zhang, and Khaled B. Letaief, IEEE J. Sel. Topics Signal Process., to appear, 2016.

autoencoder-neural-network-based-intelligent-hb-design-for-mmwave-massive-mimo-systems

bf-design-with-dl

Beamforming design with deep learning.

channel-estimation-and-hybrid-precoding-for-millimeter-wave-systems-based-on-deep-learning

codinginterviews

剑指Offer笔记

dl-dsc-fdd-massive-mimo

Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO.

dl-hybrid-precoder

Source code for paper Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems

dnn_detection_via_keras

This is the simplest implementation of Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems using keras.

free

翻、节

google-access-helper

谷歌访问助手破解版

hbf-net

Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming

hybrid-beamforming

This example introduces the basic concept of hybrid beamforming and shows how to split the precoding and combining weights using orthogonal matching pursuit algorithm. It shows that hybrid beamforming can closely match the performance offered by optimal digital weights. This program simulates a 64 x 16 MIMO hybrid beamforming system, with a 64-element square array with 4 RF chains on the transmitter side and a 16-element square array with 4 RF chains on the receiver side. Each antenna element can be connected to one or more TR modules.

hybrid-precoding

hybrid precoding in mmWave MIMO with finite-resolution phase shifters

hybridprecodingopt

Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0

knowledge-distillation-aided-end-to-end-learning-for-linear-precoding-in-multiuser-mimo-downlink-sys

leetcode

python 数据结构与算法 leetcode 算法题与书籍 刷算法全靠套路与总结！Crack LeetCode, not only how, but also why.

massivemimobook

Book PDF and simulation code for the monograph "Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency" by Emil Björnson, Jakob Hoydis and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2017.

narrowband-mmwave-hybrid-precoding-algorithm

This is a MATLAB implementation of the narrowband hybrid precoding algorithm for single user mmWave MIMO systems.

optimal-beamforming

Simulation code for “Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure” by Emil Björnson, Mats Bengtsson, and Björn Ottersten, IEEE Signal Processing Magazine, vol. 31, no. 4, pp. 142-148, July 2014.

performance-of-hybrid-precoding-in-massive-mimo

uav3dbeamforming

secure transmission for UAV communication systems based on deep learning