5 citations · 7 across the 13 of their papers we have counts for
17 papers
Downlink CSIT under Compressed Feedback: Joint vs. Separate Source-Channel Coding
Yi Song, Tianyu Yang, Mahdi Barzegar Khalilsarai +1
The acquisition of Downlink (DL) channel state information at the transmitter (CSIT) is known to be a challenging task in multiuser massive MIMO systems when uplink/downlink channe…
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…
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…
Channel State Acquisition in FDD Massive MIMO: Rate-Distortion Bound and Effectiveness of "Analog" Feedback
Mahdi Barzegar Khalilsarai, Yi Song, Tianyu Yang +1
We consider the problem of estimating channel fading coefficients (modeled as a correlated Gaussian vector) via Downlink (DL) training and Uplink (UL) feedback in wideband FDD mass…
WiFi-Based Channel Impulse Response Estimation and Localization via Multi-Band Splicing
Mahdi Barzegar Khalilsarai, Benedikt Gross, Stelios Stefanatos +2
Using commodity WiFi data for applications such as indoor localization, object identification and tracking and channel sounding has recently gained considerable attention. We study…
Dual-Polarized FDD Massive MIMO: A Comprehensive Framework
Mahdi Barzegar Khalilsarai, Tianyu Yang, Saeid Haghighatshoar +2
We propose a comprehensive scheme for realizing a massive multiple-input multiple-output (MIMO) system with dual-polarized antennas in frequency division duplexing (FDD) mode. Empl…