A key challenge for frequency-division duplexing (FDD) massive multi-input multi-output
(MIMO) is the large overhead in acquiring channel state information (CSI) for transmits …

We propose a novel method for massive multiple-input multiple-output (massive MIMO) in
frequency division duplexing (FDD) systems. Due to the large frequency separation between …

We propose a channel state information acquisition mechanism to reduce the training
overhead in frequency-division duplexing (FDD) massive multiple-input multiple-output …

In frequency-division duplexing systems, the downlink channel state information (CSI)
acquisition scheme leads to high training and feedback overhead. In this work, we propose …

The concept of deploying a large number of antennas at the base station, often called
massive multiple-input multiple-output (MIMO), has drawn considerable interest because of …

Massive multiple-input multiple-output systems deploying a large number of antennas at the
base station considerably increase the spectrum efficiency by serving multiple users …

Accurate channel estimation is important for massive multiple-input multiple-output (mMIMO)
to ensure good performance. Considering mMIMO application in 5G, frequency division …

Transmitter channel state information (CSIT) is indispensable for the spectral efficiency
gains offered by massive multiple-input multiple-output (MIMO) systems. In a frequency …

Massive multiple-input-multiple-output (MIMO) is a promising technique for providing
unprecedented spectral efficiency. However, it has been well recognized that the excessive …

Massive multiple-input multiple-output (MIMO) is widely recognized as a promising
technology for future 5G wireless communication systems. To achieve the theoretical …