Machine learning (ML) has attracted a great research interest for physical layer design
problems, such as channel estimation, thanks to its low complexity and robustness. Channel …

This letter presents the first work introducing a deep learning (DL) framework for channel
estimation in large intelligent surface (LIS) assisted massive MIMO (multiple-input multiple …

Pilot contamination posts a fundamental limit on the performance of massive multiple-input-
multiple-output (MIMO) antenna systems due to failure in accurate channel estimation. To …

Massive multiple-input multiple-output (mMIMO) is a critical component in upcoming 5G
wireless deployment as an enabler for high data rate communications. mMIMO is effective …

We consider the problem of downlink training and channel estimation in frequency division
duplex (FDD) massive MIMO systems, where the base station (BS) equipped with a large …

We propose a novel method for massive multiple-input multiple-output (massive MIMO) in
frequency division duplexing (FDD) systems. Due to the large frequency separation between …

Channel estimation is one of the key issues in practical massive multiple-input multiple-
output (MIMO) systems. Compared with conventional estimation algorithms, deep learning …

In this paper, we consider massive multiple-input-multiple-output (MIMO) communication
systems with a uniform planar array (UPA) at the base station (BS) and investigate the …

In this letter, we propose a deep learning (DL)-based channel estimation scheme for the
massive multiple-input multiple-output (MIMO) system. Unlike existing studies, we develop …

There is much discussion in industry and academia about possible technical solutions to
address the growth in demand for wireless broadband. Massive multiple-input multiple …