1 citations · 1 across the 6 of their papers we have counts for
3 papers · 1 filter
Inferring Remote Channel State Information: Cramér-Rao Lower Bound and Deep Learning Implementation
Zhiyuan Jiang, Ziyan He, Sheng Chen +3
Channel state information (CSI) is of vital importance in wireless communication systems. Existing CSI acquisition methods usually rely on pilot transmissions, and geographically s…
Time-Sequence Channel Inference for Beam Alignment in Vehicular Networks
Sheng Chen, Zhiyuan Jiang, Sheng Zhou +1
In this paper, we propose a learning-based low-overhead beam alignment method for vehicle-to-infrastructure communication in vehicular networks. The main idea is to remotely infer…
Exploiting Wireless Channel State Information Structures Beyond Linear Correlations: A Deep Learning Approach
Zhiyuan Jiang, Sheng Chen, Andreas F. Molisch +3
Knowledge of information about the propagation channel in which a wireless system operates enables better, more efficient approaches for signal transmissions. Therefore, channel st…