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Simulation code for the book “Optimal Resource Allocation in Coordinated Multi-Cell Systems” by Emil Björnson and Eduard Jorswieck, Foundations and Trends in Communications and Information Theory, vol. 9, no. 2-3, pp. 113-381, 2013
Matlab simulator for ALOHA-based M2M capillary networks.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Modelling of Base stations using a homogeneous Poisson point process. Computation of Signal to Noise and Interference ratio (SINR) and Coverage probability for downlink and uplink scenarios
Analysis of Heterogeneous Networks using Poisson Cluster Process
Modelling EH-WSN MAC protocols
This repository contains the code of the simulator used in the paper "Effect of LOS/NLOS Propagation on 5G Ultra-Dense Networks", submitted to "COMPUTER NETWORKS, Elsevier" and currently under review.
Using Genetic mutation algorithm to solve a multiple salesman problem for first emergency first response
simulation of paper "On the Association of Small Cell Base Stations with UAVs using Unsupervised Learning"
My notes and superstitions about common machine learning algorithms
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
Path Planning with Reinforcement Learning algorithms in an unknown environment
This is a Matlab code package is related to the article : Path Selection and Rate Allocation for URLLC in Self-backhauled mmWave 5G Networks
Evaluation of Coverage probability of unified HetNet Model by simulation and theory
:pager: Links to others' solutions to Projects (https://github.com/karan/Projects/)
Check out improved:
Implementation of various reinforcement learning algorithms in examples obtained from the book "Reinforcement Learning: An Introduction, by Sutton and Barto".
Graph-based resource sharing in vehicular communication, IEEE Transactions on Wireless Communications
How to Learn Reinforcement Learning: A Step-by-step Guide
Reinforcement Learning for Self Organization and Power Control of Two-Tier Heterogeneous Networks
Unmanned Air Vehicles (UAV) Simulator with Machine Learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.