13 citations · 25 across the 8 of their papers we have counts for
19 papers
Detection of Abrupt Change in Channel Covariance Matrix for Multi-Antenna Communication
Runnan Liu, Liang Liu, Dazhi He +2
The knowledge of channel covariance matrices is of paramount importance to the estimation of instantaneous channels and the design of beamforming vectors in multi-antenna systems.…
A New Channel Estimation Strategy in Intelligent Reflecting Surface Assisted Networks
Rui Wang, Liang Liu, Shuowen Zhang +1
Channel estimation is the main hurdle to reaping the benefits promised by the intelligent reflecting surface (IRS), due to its absence of ability to transmit/receive pilot signals…
User Grouping and Reflective Beamforming for IRS-Aided URLLC
Hailiang Xie, Jie Xu, Ya-Feng Liu +2
This paper studies an intelligent reflecting surface (IRS)-aided downlink ultra-reliable and low-latency communication (URLLC) system, in which an IRS is dedicatedly deployed to as…
On Massive IoT Connectivity with Temporally-Correlated User Activity
Qipeng Wang, Liang Liu, Shuowen Zhang +1
This paper considers joint device activity detection and channel estimation in Internet of Things (IoT) networks, where a large number of IoT devices exist but merely a random subs…
An Efficient Algorithm for Device Detection and Channel Estimation in Asynchronous IoT Systems
Liang Liu, Ya-Feng Liu
A great amount of endeavour has recently been devoted to the joint device activity detection and channel estimation problem in massive machine-type communications. This paper targe…
A Covariance-based User Activity Detection and Channel Estimation Approach with Novel Pilot Design
Lei Cheng, Liang Liu, Shuguang Cui
This paper studies the massive machine-type communications (mMTC) for the future Internet of Things (IoT) applications, where a large number of IoT devices exist in the network and…