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knowledge-distillation-aided-end-to-end-learning-for-linear-precoding-in-multiuser-mimo-downlink-sys's Introduction

Knowledge-Distillation-aided-End-to-End-Learning-for-Linear-Precoding-in-Multiuser-MIMO-Downlink-System

With Knowledge distillation:

Run Limited_feedback_MU_Expanded_Final_8_2_4_scrating_hint_same_network.py

Without Knowledge distillation:

Run Limited_feedback_MU_Expanded_Final_8_2_4_scrating_no_hint_same_network.py

Environment:

This code is tested in Tensorflow 2.5 with RTX3090, but Tensorflow version 1 can also be used with small modifications.

Change: import tensorflow.compat.v1 as tf, tf.disable_v2_behavior()

TO: import tenforflow as tf

Dataset can be downloaded as following link:

https://drive.google.com/drive/folders/1eEAgOPUgmwnQb0GdvhZqBbhBuGWKWTHn?usp=sharing

knowledge-distillation-aided-end-to-end-learning-for-linear-precoding-in-multiuser-mimo-downlink-sys's People

Contributors

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