722 citations · 936 across the 5 of their papers we have counts for
7 papers
Compressive Sensing with Prior Support Quality Information and Application to Massive MIMO Channel Estimation with Temporal Correlation
Xiongbin Rao, Vincent K. N. Lau
In this paper, we consider the problem of compressive sensing (CS) recovery with a prior support and the prior support quality information available. Different from classical works…
Distributed Fronthaul Compression and Joint Signal Recovery in Cloud-RAN
Xiongbin Rao, Vincent K. N. Lau
The cloud radio access network (C-RAN) is a promising network architecture for future mobile communications, and one practical hurdle for its large scale implementation is the stri…
Distributed Compressive CSIT Estimation and Feedback for FDD Multi-user Massive MIMO Systems
Xiongbin Rao, Vincent K. N. Lau
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…
Interference Alignment with Partial CSI Feedback in MIMO Cellular Networks
Xiongbin Rao, Vincent K. N. Lau
Interference alignment (IA) is a linear precoding strategy that can achieve optimal capacity scaling at high SNR in interference networks. However, most existing IA designs require…
CSI Feedback Reduction for MIMO Interference Alignment
Xiongbin Rao, Liangzhong Ruan, Vincent K. N. Lau
Interference alignment (IA) is a linear precoding strategy that can achieve optimal capacity scaling at high SNR in interference networks. Most of the existing IA designs require f…
Limited Feedback Design for Interference Alignment on MIMO Interference Networks with Heterogeneous Path Loss and Spatial Correlations
Xiongbin Rao, Liangzhong Ruan, Vincent K. N. Lau
Interference alignment is degree of freedom optimal in K -user MIMO interference channels and many previous works have studied the transceiver designs. However, these works predomi…