5 citations · 10 across the 16 of their papers we have counts for
5 papers · 1 filter
Uplink-Downlink Channel Covariance Transformations and Precoding Design for FDD Massive MIMO
Mahdi Barzegar Khalilsarai, Yi Song, Tianyu Yang +2
A large majority of cellular networks deployed today make use of Frequency Division Duplexing (FDD) where, in contrast with Time Division Duplexing (TDD), the channel reciprocity d…
Structured Channel Covariance Estimation from Limited Samples in Massive MIMO
Mahdi Barzegar Khalilsarai, Tianyu Yang, Saeid Haghighatshoar +1
Obtaining channel covariance knowledge is of great importance in various Multiple-Input Multiple-Output MIMO communication applications, including channel estimation and covariance…
Machine Learning for Geometrically-Consistent Angular Spread Function Estimation in Massive MIMO
Yi Song, Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar +1
In the spatial channel models used in multi-antenna wireless communications, the propagation from a single-antenna transmitter (e.g., a user) to an M-antenna receiver (e.g., a Base…
Randomized Channel Sparsifying Hybrid Precoding for FDD Massive MIMO Systems
Chang Tian, An Liu, Mahdi Barzegar Khalilsarai +3
We propose a novel randomized channel sparsifying hybrid precoding (RCSHP) design to reduce the signaling overhead of channel estimation and the hardware cost and power consumption…
WiFi-Based Indoor Localization via Multi-Band Splicing and Phase Retrieval
Mahdi Barzegar Khalilsarai, Stelios Stefanatos, Gerhard Wunder +1
We study the problem of indoor localization using commodity WiFi channel state information (CSI) measurements. The accuracy of methods developed to address this problem is limited…