Machine learning (ML) which is a subset of artificial intelligence is expected to unlock the
potential of challenging large-scale problems in conventional massive multiple-input …

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) …

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 …

Channel state information (CSI) is a key aspect of massive multi-input multi-output (MIMO)
system. It depicts important properties of transmission channels such as scattering, fading …

Although the frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO)
system can offer high spectral and energy efficiency, it requires to feedback the downlink …

The Massive Multiple Input Multiple Output (MIMO) system is a core technology of the next
generation communication. With the growing complexity of CSI, CSI feedback in massive …

The potentials of massive multiple-input multiple-output (MIMO) are all based on the
available instantaneous channel state information (CSI) at the base station (BS). Therefore …

Massive multiple-input multiple-output (MIMO) systems require downlink channel state
information (CSI) at the base station (BS) to achieve spatial diversity and multiplexing gains …

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 …

This paper presents a novel compressed sensing (CS) approach to high dimensional
wireless channel estimation by optimizing the input to a deep generative network. Channel …