5 papers · 1 filter
Semi-Blind Fluid Antenna System: Port Selection via Statistical Analysis
Tianyu Han, Yongxu Zhu, Kai-Kit Wong +3
The fluid antenna system (FAS) enables position reconfigurability. A potential drawback of real-time FAS, however, is that it requires complete channel state information (CSI) for…
Model-driven deep neural network for enhanced direction finding with commodity 5G gNodeB
Shengheng Liu, Zihuan Mao, Xingkang Li +4
Pervasive and high-accuracy positioning has become increasingly important as a fundamental enabler for intelligent connected devices in mobile networks. Nevertheless, current wirel…
Machine-Type Communication Waveforms: An Exploration of New Dimensions
Michael Wang, Lei Wang, Xiaohu You
This paper derives a generalized class of waveforms with an application to machine-type communication (MTC) while studying its underlying structural characteristics in relation to…
A New Heterogeneous Hybrid Massive MIMO Receiver with An Intrinsic Ability of Removing Phase Ambiguity of DOA Estimation via Machine Learning
Feng Shu, Baihua Shi, Yiwen Chen +5
Massive multiple input multiple output (MIMO) antenna arrays eventuate a huge amount of circuit costs and computational complexity. To satisfy the needs of high precision and low c…
Lightweight Deep Learning Based Channel Estimation for Extremely Large-Scale Massive MIMO Systems
Shen Gao, Peihao Dong, Zhiwen Pan +1
Extremely large-scale massive multiple-input multiple-output (XL-MIMO) systems introduce the much higher channel dimensionality and incur the additional near-field propagation effe…