ABSTRACT
Massive Multiple Input Multiple Output (MIMO) is one of the key technologies of multi-user cellular systems. We must do our best to find a suitable detection algorithm to ensure high-throughput data signal detection. In recent years, deep learning technology has made great progress in the field of wireless communication systems, and signal detection algorithms based on deep learning have gradually become the focus and hotspot of research in this field. This article describes the signal detection task and its difficulties under computer vision, focusing on the signal detection algorithm in the MIMO system based on deep learning, summarizes the current representative related methods, and summarizes the development of the technology and outlook.
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Index Terms
- Summary of MIMO System Signal Detection Algorithms Under Deep Learning
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