5 papers
Low-Latency Terrestrial Interference Detection for Satellite-to-Device Communications
Runnan Liu, Weifeng Zhu, Shu Sun +1
Direct satellite-to-device communication is a promising future direction due to its lower latency and enhanced efficiency. However, intermittent and unpredictable terrestrial inter…
Detecting Abrupt Change of Channel Covariance Matrix in IRS-Assisted Communication
Runnan Liu, Liang Liu, Yin Xu +3
The knowledge of channel covariance matrices is crucial to the design of intelligent reflecting surface (IRS) assisted communication. However, channel covariance matrices may chang…
NB-IoT Uplink Synchronization by Change Point Detection of Phase Series in NTNs
Jiaqi Jiang, Yihang Huang, Yin Xu +3
Non-Terrestrial Networks (NTNs) are widely recognized as a potential solution to achieve ubiquitous connections of Narrow Bandwidth Internet of Things (NB-IoT). In order to adopt N…
Detecting Abrupt Changes in Channel Covariance Matrix for MIMO Communication
Runnan Liu, Liang Liu, Dazhi He +2
The acquisition of the channel covariance matrix is of paramount importance to many strategies in multiple-input-multiple-output (MIMO) communications, such as the minimum mean-squ…
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.…