In this paper, we investigate a sparse channel estimation problem for broadband massive
multiple-input-multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) …

To achieve high data rates defined in 5G, the use of millimeter-waves and massive-MIMO
are indispensable. To benefit from these technologies, an accurate estimation of the channel …

In this paper, a novel two-dimensional parameter estimation method is proposed for
frequency-selective millimeter-wave (mmWave) channels by probing a limited number of …

Hybrid beamforming (HBF) is a promising technique in millimeter-wave (mmWave) systems
with a limited number of radio frequency (RF) chains. Acquiring channel state information is …

Given the high degree of computational complexity of the channel estimation technique
based on the conventional one-dimensional (1-D) compressive sensing (CS) framework …

Accurate channel state information (CSI) acquisition with low pilot overhead has always
been a problem for RIS-assisted massive MIMO systems. The design of phase shifts at RIS …

Due to its outstanding advantages in spectral efficiency and energy efficiency, multiple-input
and multiple-output (MIMO), which employs a large number of antennas at the base station …

The next generation of wireless communication systems promises to provide a better user
experience in terms of high data rates, coverage, reliability, and energy efficiency. One of the …

Compressive channel estimation (CCE) schemes have been proposed in millimeter-wave
(mmWave) systems. The design of the analog combining matrix plays an important role to …