Pinned Repositories
Deep-Reinforcement-Learning-for-5G-Networks
Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper accepted for publication to IEEE Transactions on Communications.
easy-rl
强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/
Energy-Spectral-Efficiency-Optimization
Energy-Spectral Efficiency Optimization in Vehicular Communications: Joint Clustering and Pricing-based Robust Power Control Approach
genetic-algorithm
遗传算法 - Matlab
Multi-User-Transmit-Beamforming-Linear-Regression-Convex-Optimization-Tutorial
In this work, we use convex optimization package in MATLAB to implement multi-user transmit beamforming problem and linear regression. This is the homework 2 of ELEC 5470 Convex Optimization, HKUST.
Power_Allocation_DDPG
Simulation code for "Downlink Power Control for Cell-Free Massive MIMO with Deep Reinforcement Learning" by Lirui Luo, Jiayi Zhang, Shuaifei Chen, Bo Ai, and Derrick Wing Kwan Ng, IEEE Transactions on Vehicular Technology.
Q-Learning-Based-Power-Control-Algorithm-for-D2D-Communication
D2D communication as a multi-agents system, and power control is achieved by maximizing system capacity while maintaining the requirement of quality of service(QoS) from cellular users.
ResourceAllocationV2X
Resource allocation for D2D-enabled vehicular communications, IEEE Transactions on Communications
RIS-Codes-Collection
A Collection Contains the Codes for RIS(IRS) Papers.
Source-Code-Notebook
关于一些经典论文源码的逐行中文笔记
Wang00123265656's Repositories
Wang00123265656/Power_Allocation_DDPG
Simulation code for "Downlink Power Control for Cell-Free Massive MIMO with Deep Reinforcement Learning" by Lirui Luo, Jiayi Zhang, Shuaifei Chen, Bo Ai, and Derrick Wing Kwan Ng, IEEE Transactions on Vehicular Technology.
Wang00123265656/Source-Code-Notebook
关于一些经典论文源码的逐行中文笔记
Wang00123265656/Deep-Reinforcement-Learning-for-5G-Networks
Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper accepted for publication to IEEE Transactions on Communications.
Wang00123265656/easy-rl
强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/
Wang00123265656/Energy-Spectral-Efficiency-Optimization
Energy-Spectral Efficiency Optimization in Vehicular Communications: Joint Clustering and Pricing-based Robust Power Control Approach
Wang00123265656/genetic-algorithm
遗传算法 - Matlab
Wang00123265656/Multi-User-Transmit-Beamforming-Linear-Regression-Convex-Optimization-Tutorial
In this work, we use convex optimization package in MATLAB to implement multi-user transmit beamforming problem and linear regression. This is the homework 2 of ELEC 5470 Convex Optimization, HKUST.
Wang00123265656/Q-Learning-Based-Power-Control-Algorithm-for-D2D-Communication
D2D communication as a multi-agents system, and power control is achieved by maximizing system capacity while maintaining the requirement of quality of service(QoS) from cellular users.
Wang00123265656/ResourceAllocationV2X
Resource allocation for D2D-enabled vehicular communications, IEEE Transactions on Communications
Wang00123265656/RIS-Codes-Collection
A Collection Contains the Codes for RIS(IRS) Papers.
Wang00123265656/classicPowerAllocation
This is a classic power allocation in a sparse femtocell network based on dual lagrange problem.
Wang00123265656/Communication_eBooks
上传一些关于通信的好书，以便不时之需。
Wang00123265656/Concavity-approximation-based-power-allocation-in-millimeter-wave-MIMO-systems
This one is about the paper and the code of "Concavity approximation based power allocation in millimeter-wave MIMO systems".
Wang00123265656/DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Wang00123265656/Energy_efficiency_optimization_for_MIMO_interference_networks
Solving energy efficiency optimization problem for MIMO interference wireless network using iterative semi-definite programming with WMMSE (SDP-WMMSE) algorithm and successive convex approximation (SCA) algorithm
Wang00123265656/joint-computation-offloading-and-resource-allocation
joint computation offloading and resource allocation in Internet of Vehicle
Wang00123265656/large-scale-convex-optimization
Simulation Code for "Large-scale convex optimization for dense wireless cooperative networks" by Yuanming Shi, Jun Zhang, Brendan O'Donoghue, and Khaled B. Letaief, IEEE Trans. Signal Process., vol. 63, no. 18, Sept. 2015.
Wang00123265656/M.S.-Thesis
M.S. Thesis: "Channel Allocation and Power Control for Device-to-Device Communications Underlaying Cellular Cellular Networks Incorporated With Deep Learning Assistance"
Wang00123265656/MARLspectrumSharingV2X
Spectrum sharing in vehicular networks based on multi-agent reinforcement learning, IEEE Journal on Selected Areas in Communications
Wang00123265656/MIMO-OFDM-Wireless-Communications-with-MATLAB
MATLAB Code for MIMO-OFDM Wireless Communications with MATLAB | MIMO-OFDM无线通信技术及MATLAB实现
Wang00123265656/Optimizing_Millimeter_Wave_Communication
Used convex optimization to tune millimetre wave based wireless communication parameters. Replicated the IEEE paper "Multi-Beam Power Allocation for mmWave Communications under Random Blockage"
Wang00123265656/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
Wang00123265656/power-allocation
Wang00123265656/ResourceAllocationV2Xgraph
This project contains MATLAB codes for the paper: L. Liang, S. Xie, G. Y. Li, Z. Ding, and X. Yu, “Graph-based resource sharing in vehicular communication,” IEEE Transactions on Wireless Communications, vol. 17, no. 7, pp. 4579–4592, Jul. 2018.
Wang00123265656/SAT-solving-many-to-many-matching
Wang00123265656/task-offloading
MATLAB code for the simulation of our paper entitled "Energy-Efficient Task Offloading Under E2E Latency Constraints"
Wang00123265656/The-JUAD-resource-allocation-for-D2D-in-a-FDD-cellular-network
WCSP：（1）Joint Uplink and Downlink Resource Allocation for D2D Communications Underlying Cellular Networks
Wang00123265656/TSP-DNN
Training Deep Neural Networks for Wireless Resource Management
Wang00123265656/WOA_5G_Communications
This repository includes the same codes for my paper "Whale Optimization Algorithm with Applications to Resource Allocation in Wireless Networks"
Wang00123265656/WSR-maximization-for-RIS-system-1
This repository contains the source codes for the paper ``Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks'' in IEEE Transactions on Wireless Communications.