The current wireless communication infrastructure has to face exponential development in
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …

The thriving of artificial intelligence (AI) applications is driving the further evolution of
wireless networks. It has been envisioned that 6G will be transformative and will …

Despite the growing interest in the interplay of machine learning and optimization, existing
contributions remain scattered across the research board, and a comprehensive overview …

Many performance gains achieved by massive multiple-input and multiple-output depend on
the accuracy of the downlink channel state information (CSI) at the transmitter (base station) …

Open Radio Access Network (O-RAN) alliance was recently launched to devise a new RAN
architecture featuring open, software-driven, virtual, and intelligent radio access architecture …

Massive multiple-input multiple-output (MIMO) is playing a crucial role in the fifth generation
(5G) and beyond 5G (B5G) communication systems. Unfortunately, the complexity of …

This paper proposes a model-driven deep learning (MDDL)-based channel estimation and
feedback scheme for wideband millimeter-wave (mmWave) massive hybrid multiple-input …

Deep learning-based approaches have been developed to solve challenging problems in
wireless communications, leading to promising results. Early attempts adopted neural …

Accurate downlink channel state information (CSI) is required to be fed back to the base
station (BS) in frequency division duplexing (FDD) massive multiple-input multiple-output …

Reconfigurable intelligent surface (RIS) can significantly enhance the service coverage of
Tera-Hertz massive multiple-input multiple-output (MIMO) communication systems …