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/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.