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 …

We propose a novel randomized channel sparsifying hybrid precoding (RCSHP) design to
reduce the signaling overhead of channel estimation and the hardware cost and power …

To achieve the performance gains of massive multiple-input multiple-output (MIMO) systems,
the downlink channel state information (CSI) must be acquired at the base station (BS). In …

It is well known that the performance of frequency-division-duplex (FDD) massive MIMO
systems with iid channels is disappointing compared with that of time-division-duplex (TDD) …

This paper proposes a novel channel estimation scheme for the multiuser massive multiple-
input multiple-output (MIMO) systems. A discrete Fourier transform (DFT) aided spatial basis …

In order to unlock the full advantages of massive multiple input multiple output (MIMO) in the
downlink, channel state information (CSI) is required at the base station (BS) to optimize the …

As a promising technique to meet the drastically growing demand for both high throughput
and uniform coverage in the fifth generation (5G) wireless networks, massive multiple-input …

In this paper, a channel state information (CSI) feedback method is proposed based on deep
transfer learning (DTL). The proposed method addresses the problem of high training cost of …

To fully utilize multiplexing and array gains of massive multiple-input multiple-output (MIMO),
the downlink channel state information (CSI) must be acquired at the base station (BS). In …

Massive MIMO is considered as one of the key enablers of the next generation 5G networks.
With a high number of antennas at the BS, both spectral and energy efficiencies can be …