le-liang/wcmlbook
Python code for the book 'Wireless Communications and Machine Learning' by Le Liang, Shi Jin, and Geoffrey Ye Li
This collection of Python code helps wireless communication researchers and students understand and apply machine learning techniques to real-world wireless problems. It takes theoretical concepts from the 'Wireless Communications and Machine Learning' textbook and provides executable examples to illustrate how these methods work in practice, helping you visualize and reproduce key findings in the field.
Use this if you are studying or working in wireless communications and want to see practical, code-based examples of how machine learning algorithms are applied to design receivers, allocate resources, and model channels.
Not ideal if you are looking for a plug-and-play solution for an existing wireless system or a general machine learning library not specifically tailored to wireless applications.
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Language
Python
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Last pushed
Mar 06, 2026
Commits (30d)
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