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

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 …

Signal detection plays a significant role at the receiver of current multiple-input multiple-
output (MIMO) communication systems. In this paper, we propose a deep learning aided …

In this paper, we introduce a framework for a systematic acceleration of deep neural network
(DNN) design for MIMO detection. A monotonically non-increasing function is used to scale …

Incorporating deep learning (DL) into multiple-input multiple-output (MIMO) detection has
been deemed as a promising technique for future wireless communications. However, most …

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

In this paper, we reveal that artificial neural network (ANN) assisted multiple-input multiple-
output (MIMO) signal detection can be modeled as ANN-assisted lossy vector quantization …

Applications of deep learning have not been adequately studied in communication systems,
though it is a tremendously popular approach in many other fields. This study focuses on the …

In a-best detector for multiple-input-multiple-output (MIMO) systems, the value of needs to be
sufficiently large to achieve near-maximum-likelihood (ML) performance. By treating as a …

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