chenliangyu2018's Stars
czy36mengfei/tensorflow2_tutorials_chinese
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
openai/spinningup
An educational resource to help anyone learn deep reinforcement learning.
dragen1860/Deep-Learning-with-TensorFlow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Haoran-S/TSP-DNN
Training Deep Neural Networks for Wireless Resource Management
TilakRajesh/PrecoderDesignIncompleteCSI4JT
SSOCP and Branch and Bound source code for the paper: T.R. Lakshmana, A. Tölli, R. Devassy, and T. Svensson, “Precoder Design with Incomplete Feedback for Joint Transmission,” accepted in IEEE Trans- actions on Wireless Communications, Oct. 2015. This code provided is as, and if you use any part of this code, please cite the above work. Thanks.
haoxiaozi/deep-EE-opt
Source code for "Deep Learning for Optimal Energy-Efficient Power Control in Wireless Interference Networks" by Bho Matthiesen, Alessio Zappone, Eduard A. Jorswieck, and Merouane Debbah, submitted to IEEE Journal on Selected Areas in Communication.
NeuronDance/DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
MorvanZhou/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
IIT-Lab/Learning-Based-Power-Control-for-mmWave-Massive-MIMO-against-Jamming
论文中包含的论文原文以及原文所涉及的简化版代码。
hiroyuki-kasai/HybridPrecodingOpt
Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0
yuxianghao/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.
TianLin0509/Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Wireless based on deep learning papers' code
Zzhaoxingyu/hybrid-beamforming-for-three-scenes
Zzhaoxingyu/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.
sibis-platform/PDLG
Penalty Decomposition (PD) method for solving group cardinality constrained logistic regression.
kien-vu/is-massive-MIMO-the-answer
Simulation code for “Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the Answer?” by Emil Björnson, Luca Sanguinetti, Jakob Hoydis, Mérouane Debbah, IEEE Transactions on Wireless Communications, vol. 14, no. 6, pp. 3059-3075, June 2015.
kien-vu/massive-MIMO-small-cells
Simulation code for “Massive MIMO and Small Cells: Improving Energy Efficiency by Optimal Soft-Cell Coordination” by Emil Björnson, Marios Kountouris, Mérouane Debbah, Proceedings of International Conference on Telecommunications (ICT), Casablanca, Morocco, May 2013.
kien-vu/Joint-User-Association-and-In-band-Backhaul-Scheduling-and-in-5G-mmWave-Networks
Matlab Simulation for T. K. Vu, M. Bennis, S. Samarakoon, M. Debbah and M. Latva-aho, "Joint In-Band Backhauling and Interference Mitigation in 5G Heterogeneous Networks," European Wireless 2016; 22th European Wireless Conference, Oulu, Finland, 2016, pp. 1-6. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7499273&isnumber=7499250
kien-vu/massivemimobook
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.
kien-vu/Path-Selection-and-Rate-allocation-in-Self-backhauled-mmWave-Networks
This is a Matlab code package is related to the article : Path Selection and Rate Allocation for URLLC in Self-backhauled mmWave 5G Networks
samerlahoud/wireless-simulator-ua-pc
Wireless Cellular Simulator for Radio Resource Management
trinhudo/Matlab-code-LCOMM-2018
Matlab code of the paper: T.-N. Do, V.-D. Nguyen, O.-S Shin, and B. An, "Simultaneous Uplink and Downlink Transmissions for Wireless Powered Communication Networks," in IEEE Communications Letters, 2018. doi: 10.1109/LCOMM.2018.2885303
emilbjornson/max-EE-Multislope-Path-Loss
This is a code package is related to the follow scientific article: Andrea Pizzo, Daniel Verenzuela, Luca Sanguinetti and Emil Björnson, "Network Deployment for Maximal Energy Efficiency in Uplink with Multislope Path Loss," IEEE Transactions on Green Communications and Networking, Submitted to. The package contains a simulation environment, based on Matlab, that reproduces all the numerical results and figures in the article. We encourage you to also perform reproducible research!
emilbjornson/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.
rasmusbrandt/tvt2015_distributed_CSI_acquisition
Simulation code for "Distributed CSI Acquisition and Coordinated Precoding for TDD Multicell MIMO Systems" (IEEE TVT 2015).
ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
Praz314159/Coalitional-Game-for-Optimizing-Wireless-Networks
carlobar/PDToolbox_matlab
Matlab implementation of some evolutionary dynamics from game theory, such as: replicator dynamics, smith dynamics, logit dynamics, and Brown-von Neumann-Nash.
chenliangyu2018/Joint-User-Association-and-In-band-Backhaul-Scheduling-and-in-5G-mmWave-Networks
Matlab Simulation for T. K. Vu, M. Bennis, S. Samarakoon, M. Debbah and M. Latva-aho, "Joint In-Band Backhauling and Interference Mitigation in 5G Heterogeneous Networks," European Wireless 2016; 22th European Wireless Conference, Oulu, Finland, 2016, pp. 1-6. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7499273&isnumber=7499250
SHIYUANMING/Stochastic-Coordinated-Beamforming
Matlab Simulation Code for “Optimal stochastic coordinated beamforming for wireless cooperative networks with CSI uncertainty,” by Y. Shi, J. Zhang, and K. B. Letaief, IEEE Trans. Signal Process., vol. 63, no. 4, pp. 960-973, Feb. 2015.