Compressed channel feedback for correlated massive MIMO systems
Massive multiple-input multiple-output (MIMO) is a promising approach for cellular
communication due to its energy efficiency and high achievable data rate. These …
communication due to its energy efficiency and high achievable data rate. These …
Exploiting burst-sparsity in massive MIMO with partial channel support information
How to obtain accurate channel state information at the base station (CSIT) is a key
implementation challenge behind frequency-division duplex massive MIMO systems …
implementation challenge behind frequency-division duplex massive MIMO systems …
Channel correlation modeling and its application to massive MIMO channel feedback reduction
In this paper, we propose a feedback information reduction technique for massive multiple-
input multiple-output (MIMO) systems. To this end, we analytically derive a covariance matrix …
input multiple-output (MIMO) systems. To this end, we analytically derive a covariance matrix …
Distributed compressive CSIT estimation and feedback for FDD multi-user massive MIMO systems
To fully utilize the spatial multiplexing gains or array gains of massive MIMO, the channel
state information must be obtained at the transmitter side (CSIT). However, conventional …
state information must be obtained at the transmitter side (CSIT). However, conventional …
A compressed analog feedback strategy for spatially correlated massive MIMO systems
J Lee, SH Lee - 2012 IEEE Vehicular Technology Conference …, 2012 - ieeexplore.ieee.org
In multiuser MIMO systems, the amount of the required feedback increases with the number
of transmit antennas to improve the sum rate performance. This feedback overhead is critical …
of transmit antennas to improve the sum rate performance. This feedback overhead is critical …
Exploiting dynamic sparsity for downlink FDD-massive MIMO channel tracking
Accurate channel tracking with a small pilot overhead is vital for real-time massive multiple-
input and multiple-output (MIMO) communication over a dynamic channel. Recently …
input and multiple-output (MIMO) communication over a dynamic channel. Recently …
On the performance of channel-statistics-based codebook for massive MIMO channel feedback
The channel feedback overhead for massive multiple-input multiple-output systems with a
large number of base station (BS) antennas is very high since the number of feedback bits of …
large number of base station (BS) antennas is very high since the number of feedback bits of …
Convolutional neural network-based multiple-rate compressive sensing for massive MIMO CSI feedback: Design, simulation, and analysis
Massive multiple-input multiple-output (MIMO) is a promising technology to increase link
capacity and energy efficiency. However, these benefits are based on available channel …
capacity and energy efficiency. However, these benefits are based on available channel …
Sparse channel estimation for spatial non-stationary massive MIMO channels
S Hou, Y Wang, T Zeng, S Wu - IEEE Communications Letters, 2019 - ieeexplore.ieee.org
In massive MIMO systems, the channel shows a spatial non-stationarity that has a significant
impact on the design of sparse channel estimation scheme based on compressive sensing …
impact on the design of sparse channel estimation scheme based on compressive sensing …
Grant-free massive MTC-enabled massive MIMO: A compressive sensing approach
K Senel, EG Larsson - IEEE Transactions on Communications, 2018 - ieeexplore.ieee.org
A key challenge of massive MTC (mMTC), is the joint detection of device activity and
decoding of data. The sparse characteristics of mMTC makes compressed sensing (CS) …
decoding of data. The sparse characteristics of mMTC makes compressed sensing (CS) …