emrehzl's Stars
xiaogaogaoxiao/Matrix-analysis-and-application
重排《矩阵分析与应用》第二版
xiaogaogaoxiao/Channel-Estimation-for-Intelligent-Reflecting-Surface-Assisted-Multiuser-Communications
This code is for the paper Z. Wang, L. Liu, and S. Cui, "Channel estimation for intelligent reflecting surface assisted multiuser communications: framework, algorithms, and analysis," IEEE Trans. Wireless Commun., vol. 19, no. 10, pp. 6607-6620, Oct. 2020.
xiaogaogaoxiao/Deep-Learning-for-SVD-and-Hybrid-Beamforming
Deep Learning for SVD and Hybrid Beamforming
xiaogaogaoxiao/Multi-RIS
Multi-RIS-aided Wireless Systems: Statistical Characterization and Performance Analysis
xiaogaogaoxiao/Satellite-communication
Deep learning to predict and improve satellite channel characteristics
xiaogaogaoxiao/signal-optimization-for-wireless-information-and-power-transmission
Waveform optimization for WIPT based on diode nonlinear model with superposed waveforms containing modulated information and multisine power components.
xiaogaogaoxiao/Ant-Colony-Optimization
This repository contains a technique based Ant Colony Optimisation heuristic for task scheduling in Cloud Computing
xiaogaogaoxiao/ARNT
Adaptive Regularized Newton Method for Riemannian Optimization
xiaogaogaoxiao/Artificial-Gorilla-Troops-Optimizer
B. Abdollahzadeh, F. Soleimanian Gharehchopogh and S. Mirjalili, "Artificial gorilla troops optimizer: A new nature‐inspired metaheuristic algorithm for global optimization problems", International Journal of Intelligent Systems, vol. 36, no. 10, pp. 5887-5958, 2021.
xiaogaogaoxiao/Artificial_noise_secureTransmission
Artificial Noise Assisted Secure Massive MIMO Transmission With Statistical CSI
xiaogaogaoxiao/Classification-of-Satellite-and-UAV-Images-for-Communication-Systems
Classification of Satellite and UAV Images for Communication Systems
xiaogaogaoxiao/Cognitive-Backscatter
Figure 4 in paper ``Cognitive Backscatter Network: A Spectrum Sharing Paradigm for Passive IoT''
xiaogaogaoxiao/CommPy
Digital Communication with Python
xiaogaogaoxiao/D.C.-Programming-Problem
D.C. (Difference of two convex functions) Programming problem
xiaogaogaoxiao/Deep-Reinforcement-Learning-Algorithm-Collection
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
xiaogaogaoxiao/Deep_HybridBeamforming
xiaogaogaoxiao/DeepIRS
A repository for the DeepIRS project codes
xiaogaogaoxiao/GPS-INS-Integrated-Navigation
GPS INS Integrated Navigation
xiaogaogaoxiao/High-Gain-Patch-Antenna-for-LEO-Satellite-Communications
Bachelor's dissertation on a high-gain Ku band patch antenna.
xiaogaogaoxiao/Hybrid-Beamforming-for-Millimeter-Wave-Systems-Using-the-MMSE-Criterion
The Matlab Simulation codes for Hybrid Beamforming for Millimeter Wave Systems Using the MMSE Criterion.
xiaogaogaoxiao/Intelligent-reflecting-surface-aided-multi-user-mmWave-communications-for-coverage-enhancement
PIMRC paper Reproducible codes
xiaogaogaoxiao/IRS_Aided_Vehicular_Communications
Simulations on IRS aided vehicular communications
xiaogaogaoxiao/MIMO_SingleRIS
xiaogaogaoxiao/Optimization_Method
Interior Point to solve Quadratic Programming problem. The method is also improved by using Schur Complement of following paper: Wang, Yang, and Stephen Boyd. "Fast model predictive control using online optimization." IFAC Proceedings Volumes 41.2 (2008): 6974-6979.
xiaogaogaoxiao/Phase-retrieval-algorithm-via-nonconvex-minimization-using-a-smoothing-function
Coded of Phase retrieval algorithm via nonconvex minimization using a smoothing function
xiaogaogaoxiao/Physical-Layer-Security-for-Cooperative-Networks-with-Beamforming-and-Jamming
Bachelor Thesis EEIT 2013
xiaogaogaoxiao/RIS-in-vehicular-networks-via-DRL
Deep Reinforcement Learning and BCD to solve phase shift and resource allocation of RIS and RSU
xiaogaogaoxiao/STDenseNet
Source code of Citywide Cellular Traffic Prediction Based on Densely Connected Convolutional Neural Networks
xiaogaogaoxiao/uav-pos-2d
Optimal position in 2D for UAV as a communication relay
xiaogaogaoxiao/UAV-RIS-DRL
3D-Trajectory Design and Phase-Shift for RIS-Assisted UAV Communication using Deep Reinforcement Learning