Deep learning and compressive sensing-based CSI feedback in FDD massive MIMO systems
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 …
the downlink channel state information (CSI) must be acquired at the base station (BS). In …
Off-grid compressive channel estimation for mm-wave massive MIMO with hybrid precoding
B Qi, W Wang, B Wang - IEEE Communications Letters, 2018 - ieeexplore.ieee.org
To reduce the pilot overhead and improve the channel estimation accuracy in the massive
MIMO system, various channel estimation algorithms employing the sparse signal …
MIMO system, various channel estimation algorithms employing the sparse signal …
Pilot design and AMP-based channel estimation for massive MIMO-OFDM uplink transmission
This paper investigates the pilot design and channel estimation issue for massive MIMO-
OFDM uplink transmission. By exploiting the channel sparsity in the beam-delay domain, the …
OFDM uplink transmission. By exploiting the channel sparsity in the beam-delay domain, the …
A channel state information feedback algorithm for massive MIMO systems
Z Lv, Y Li - IEEE Communications Letters, 2016 - ieeexplore.ieee.org
To improve spectral efficiency and link reliability of a massive multiple-input multiple-output
system, the downlink channel state information (CSI) should be fed back to the base station …
system, the downlink channel state information (CSI) should be fed back to the base station …
Blind signal detection in massive MIMO: Exploiting the channel sparsity
In practical massive MIMO systems, a substantial portion of system resources are consumed
to acquire channel state information (CSI), leading to a drastically lower system capacity …
to acquire channel state information (CSI), leading to a drastically lower system capacity …
Parametric sparse channel estimation using long short-term memory for mmwave massive mimo systems
Millimeter-wave (mmWave) communications will play an important role in 5G and 6G
communication systems as a means to support extremely high data rates. One main …
communication systems as a means to support extremely high data rates. One main …
Massive MIMO-OFDM channel estimation via distributed compressed sensing
A Akbarpour-Kasgari… - IEEE Wireless …, 2018 - ieeexplore.ieee.org
Massive multiple-input multiple-output orthogonal frequency division multiplexing (mMIMO-
OFDM) channel estimation is considered recently utilizing compressed sensing (CS) based …
OFDM) channel estimation is considered recently utilizing compressed sensing (CS) based …
Semi-blind channel-and-signal estimation for uplink massive MIMO with channel sparsity
This paper considers the transceiver design for uplink massive multiple-input multiple-output
(MIMO) systems with channel sparsity in the angular domain. Recent progress has shown …
(MIMO) systems with channel sparsity in the angular domain. Recent progress has shown …
Robust massive MIMO channel estimation for 5G networks using compressive sensing technique
The pilot overhead provides fundamental limits on the performance of massive multiple-
input multiple-output (MIMO) systems. This is because the performance of such systems is …
input multiple-output (MIMO) systems. This is because the performance of such systems is …
Closed-loop autonomous pilot and compressive CSIT feedback resource adaptation in multi-user FDD massive MIMO systems
Acquisition of accurate channel state information (CSI) at the transmitter (CSIT) is a major
challenge of deploying frequency-division duplexing massive MIMO systems. Although …
challenge of deploying frequency-division duplexing massive MIMO systems. Although …