Bandswitch-DeepMIMO | Deep Learning Predictive Band Switching in Wireless Networks
kandi X-RAY | Bandswitch-DeepMIMO Summary
kandi X-RAY | Bandswitch-DeepMIMO Summary
Bandswitch-DeepMIMO is a Python library. Bandswitch-DeepMIMO has no bugs, it has no vulnerabilities and it has low support. However Bandswitch-DeepMIMO build file is not available. You can download it from GitHub.
Code for my publication: Deep Learning Predictive Band Switching in Wireless Networks. Paper to appear in IEEE Transactions in Wireless Communications.
Code for my publication: Deep Learning Predictive Band Switching in Wireless Networks. Paper to appear in IEEE Transactions in Wireless Communications.
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Support
Bandswitch-DeepMIMO has a low active ecosystem.
It has 5 star(s) with 10 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
Bandswitch-DeepMIMO has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Bandswitch-DeepMIMO is current.
Quality
Bandswitch-DeepMIMO has no bugs reported.
Security
Bandswitch-DeepMIMO has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Bandswitch-DeepMIMO 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.
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Bandswitch-DeepMIMO releases are not available. You will need to build from source code and install.
Bandswitch-DeepMIMO 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 Bandswitch-DeepMIMO and discovered the below as its top functions. This is intended to give you an instant insight into Bandswitch-DeepMIMO implemented functionality, and help decide if they suit your requirements.
- Creates and returns datasets
- Compute FFT vector
- Compute the optimal channel gain
- Compute codebook for codebook
- Plot a pandas dataframe
- Return a colormap
- Plot confusion matrix
- Calculate the confusion matrix
- Predictor flowover
- Compute the confusion matrix
- Plot primary data
- Calculate beam coherence time
- Plot a joint PDF
- Plot the throughput of the time series
- Train a Keras classifier
- Create a dataset
- Returns the beam training time
Get all kandi verified functions for this library.
Bandswitch-DeepMIMO Key Features
No Key Features are available at this moment for Bandswitch-DeepMIMO.
Bandswitch-DeepMIMO Examples and Code Snippets
No Code Snippets are available at this moment for Bandswitch-DeepMIMO.
Community Discussions
No Community Discussions are available at this moment for Bandswitch-DeepMIMO.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Bandswitch-DeepMIMO
You can download it from GitHub.
You can use Bandswitch-DeepMIMO 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.
You can use Bandswitch-DeepMIMO 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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