Search Results for author: Mahdi Barzegar Khalilsarai

Found 3 papers, 0 papers with code

Machine Learning for Geometrically-Consistent Angular Spread Function Estimation in Massive MIMO

no code implementations30 Oct 2019 Yi Song, Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Giuseppe Caire

The modern literature on massive MIMO has recognized that the knowledge of covariance matrix of user channel vectors is very useful for various applications such as hybrid digital analog beamforming, pilot decontamination, etc.

BIG-bench Machine Learning

Multi-Band Covariance Interpolation with Applications in Massive MIMO

no code implementations11 Jan 2018 Saeid Haghighatshoar, Mahdi Barzegar Khalilsarai, Giuseppe Caire

In this paper, we show that although this effect is generally negligible for a small number of antennas $M$, it results in a considerable distortion of the covariance matrix and especially its dominant signal subspace in the massive MIMO regime where $M \to \infty$, and can generally incur a serious degradation of the performance especially in frequency division duplexing (FDD) massive MIMO systems where the uplink (UL) and the downlink (DL) communication occur over different frequency bands.

Cannot find the paper you are looking for? You can Submit a new open access paper.