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Automatic Configuration of Energy Harvesting Sensor Nodes with Reinforcement Learning
Advanced Machine Learning Specialization on Coursera
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.
A curated list of awesome Deep Learning tutorials, projects and communities.
Code for my publication: Deep Learning Predictive Band Switching in Wireless Networks. Paper to appear in IEEE Transactions in Wireless Communications.
This is a classic power allocation in a sparse femtocell network based on dual lagrange problem.
Figure 4 in paper ``Cognitive Backscatter Network: A Spectrum Sharing Paradigm for Passive IoT''
A convex optimization course https://see.stanford.edu/Course/EE364A completed homework assignments
projects of convex optimization course,written in MATLAB
Introduction to Data Science in Python
Course material and assignment repository for the "Machine Learning Foundations: A Case Study Approach" on Coursera.
This is the code that generates the figures in the paper titled "Covariance Matrix Estimation for Massive MIMO" authored by Karthik Upadhya and Sergiy A. Vorobyov and published in IEEE Signal Processing Letters, vol. 25, no. 4, pp. 546-550, April 2018.
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
D2D communications system simulator on MATLAB.
Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses
This is the code package related to the follow scientific article: Luca Sanguinetti, Alessio Zappone, Merouane Debbah 'Deep-Learning-Power-Allocation-in-Massive-MIMO' presented at the Asilomar Conference on Signals, Systems, and Computers, 2018. http://www.asilomarsscconf.org
A deep reinforcement learning based approach is used to allocate downlink power for multi-cell wireless system.
Code for my publication: Deep Q-Learning for Self-Organizing Networks Fault Management and Radio Performance Improvement. Paper accepted to 52nd Asilomar Conference on Signals, Systems, and Computers, 2018.
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.
Materials from deeplearning.ai course on Coursera
Resource Management with Deep Reinforcement Learning (HotNets '16)
Code for my publication: Deep Learning in Downlink Coordinated Multipoint in New Radio Heterogeneous Networks. Paper is accepted to IEEE Wireless Communications Letters, 2019.
Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks
Implementation of Edge Computing papers.
Codes for "Deep Deterministic Policy Gradient (DDPG) based Energy Harvesting Wireless Communications"
This code computes the energy consumption in the downlink of a single-cell multi-user MIMO system in which the base station (BS) makes use of N antennas to communicate with K single-antenna user equipments (UEs). The UEs move around in the cell according to a random walk mobility model.
This contains code for work described in "Energy Sharing for Multiple Sensor Nodes With Finite Buffers", which is published in IEEE Transactions on Communications ( Volume: 63 , Issue: 5 , May 2015 )
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.