DL-CoMP-Machine-Learning | Deep Learning in Downlink Coordinated Multipoint

by farismismar Python Version: Current License: No License

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kandi X-RAY | DL-CoMP-Machine-Learning Summary

DL-CoMP-Machine-Learning is a Python library. DL-CoMP-Machine-Learning has no bugs, it has no vulnerabilities and it has low support. However DL-CoMP-Machine-Learning build file is not available. You can download it from GitHub.

For this code to work, please first obtain access to Vienna LTE-A Downlink System Level Simulator from Also, the code uses matlab2tikz to plot figures, which can be separately downloaded from: Reproducibility is not guaranteed unfortunately if the data_files/channel_traces/*.mat files are different or invalid. These files are made by the simulator and not from my codes. An important file LTE_sim_main.m is missing since it is part of the Vienna LTE-A simulator. I had to modify this file to implement the various CoMP algorithms, but of course cannot share the file due to copyrights.

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DL-CoMP-Machine-Learning has a low active ecosystem.

It has 16 star(s) with 15 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DL-CoMP-Machine-Learning is current.

Quality

DL-CoMP-Machine-Learning has no bugs reported.

Security

DL-CoMP-Machine-Learning has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

DL-CoMP-Machine-Learning does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

DL-CoMP-Machine-Learning releases are not available. You will need to build from source code and install.

DL-CoMP-Machine-Learning has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed DL-CoMP-Machine-Learning and discovered the below as its top functions. This is intended to give you an instant insight into DL-CoMP-Machine-Learning implemented functionality, and help decide if they suit your requirements.

Wrapper for train .
wrapper for predict_wrapper
Create an MLP .
Set random seed .

Get all kandi verified functions for this library.

DL-CoMP-Machine-Learning Key Features

No Key Features are available at this moment for DL-CoMP-Machine-Learning.

DL-CoMP-Machine-Learning Examples and Code Snippets

No Code Snippets are available at this moment for DL-CoMP-Machine-Learning.

Community Discussions

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Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install DL-CoMP-Machine-Learning

You can download it from GitHub.
You can use DL-CoMP-Machine-Learning like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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