The integration of Artificial Intelligence (AI) technologies has revolutionized wireless
communication in Multiple Input Multiple Output (MIMO) systems. However, signal detection …

The revolution of Artificial Intelligence (AI) transforms the Multiple Input Multiple Output
(MIMO) technology into Massive MIMO (Ma-MIMO) technology. However, despite the …

In recent times, artificial intelligence (AI) has gained considerable attention as a highly
promising technology for enhancing the performance of multiple-input multiple-output …

In recent times, artificial intelligence (AI) has gained considerable attention as a highly
promising technology for enhancing the performance of multiple-input multiple-output …

This study explores a technique for addressing detection challenges in large multiple-input
multipleoutput (MIMO) systems using deep learning (DL) and mathematical principles. The …

Detection techniques for massive multiple-input multiple-output (MIMO) have gained a lot of
attention in both academia and industry. Detection techniques have a significant impact on …

Multiple-Input Multiple-Output (MIMO) communication systems have become a fundamental
technology in modern wireless networks due to their ability to enhance data rates and …

The model-driven deep learning method has been verified to be effective for signal detection
in the massive multi-input multi-output (MIMO) system. In previous work, this kind of methods …

Massive multiple-input multiple-output (mMIMO) is a promising technique to realize the ever-
increasing demand for high-speed data, quality of service (QoS), and energy efficiency for …

In this paper, we present a deep learning based trainable approximate message passing
algorithm (TAMP) for signal detection in massive multiple-input multiple-output (MIMO) …