A Model-Driven Deep Learning Network for MIMO Detection

Understand

In this paper, we propose a model-driven deep learning network for multiple-input multiple-output (MIMO) detection.

• The structure of the network is specially designed by unfolding the iterative algorithm.
• Some trainable parameters are optimized through deep learning techniques to improve the detection performance.
• Since the number of trainable variables of the network is equal to that of the layers, the network can be easily trained within a very short time.