1 citations · 1 across the 4 of their papers we have counts for
4 papers
Deep-Learning Aided Channel Training and Precoding in FDD Massive MIMO with Channel Statistics Knowledge
Yi Song, Tianyu Yang, Mahdi Barzegar Khalilsarai +1
We propose a method for channel training and precoding in FDD massive MIMO based on deep neural networks (DNNs), exploiting Downlink (DL) channel covariance knowledge. The DNN is o…
A novel failure indexing approach with run-time values of program variables
Yi Song, Xihao Zhang, Xiaoyuan Xie +3
Failures with different root causes can disturb multi-fault localization significantly, therefore, dividing failures into distinct groups according to the responsible faults is hig…
FDD Massive MIMO Channel Training Optimal Rate Distortion Bounds and the Efficiency of one-shot Schemes
Mahdi Barzegar Khalilsarai, Yi Song, Tianyu Yang +1
We study the problem of providing channel state information (CSI) at the transmitter in multi-user massive MIMO systems operating in frequency division duplexing (FDD). The wideban…
A Comprehensive Empirical Investigation on Failure Clustering in Parallel Debugging
Yi Song, Xiaoyuan Xie, Quanming Liu +2
The clustering technique has attracted a lot of attention as a promising strategy for parallel debugging in multi-fault scenarios, this heuristic approach (i.e., failure indexing o…