Joint burst LASSO for sparse channel estimation in multi-user massive MIMO
The knowledge of CSI at the BS (CSIT) is required to achieve the high spectrum efficiency
promised by massive MIMO. In Frequency-Division Duplex (FDD) Massive MIMO systems …
promised by massive MIMO. In Frequency-Division Duplex (FDD) Massive MIMO systems …
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 …
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 …
Massive MIMO channel estimation based on block iterative support detection
Massive MIMO has become a promising key technology for future 5G wireless
communications to increase the channel capacity and link reliability. However, with greatly …
communications to increase the channel capacity and link reliability. However, with greatly …
Differential CSIT acquisition based on compressive sensing for FDD massive MIMO systems
To fully exploit advantages of massive MIMO, channel state information at the transmitter
(CSIT) is essential to obtain the system performance gains. By far, both channel estimation …
(CSIT) is essential to obtain the system performance gains. By far, both channel estimation …
Joint channel estimation and feedback with low overhead for FDD massive MIMO systems
Accurate channel state information (CSI) is essential to realize the potential advantages of
massive MIMO. However, the overhead required by conventional channel estimation and …
massive MIMO. However, the overhead required by conventional channel estimation and …
Compressive channel estimation exploiting block sparsity in multi-user massive MIMO systems
W Xu, T Shen, Y Tian, Y Wang… - 2017 IEEE Wireless …, 2017 - ieeexplore.ieee.org
Massive multiple input multiple output (MIMO) is a promising technology that can enhance
the wireless communication capacity due to increased degrees of freedom. To fully utilize …
the wireless communication capacity due to increased degrees of freedom. To fully utilize …
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 …
Multi-user massive MIMO channel estimation using joint sparsity and non-ideal feedback modeling
In order to realize the advantages of the massive MIMO systems, the channel state
information must be obtained at the base station (BS). However, it is a challenging task in …
information must be obtained at the base station (BS). However, it is a challenging task in …
Downlink channel estimation in multiuser massive MIMO with hidden Markovian sparsity
Recently, compressive sensing based massive multiple input multiple output (MIMO)
channel estimation (CE) has attracted intensive research interest. By exploiting the …
channel estimation (CE) has attracted intensive research interest. By exploiting the …