Publications

41 papers across the chair · search, filter, export BibTeX.

Showing 41 publications by Mahdi Barzegar Khalilsarai.Clear filter ✕

Deep Learning for Geometrically-Consistent Angular Power Spread Function Estimation in Massive MIMO
Yi Song, Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Giuseppe Caire
Global Communications Conference · 2020· 7 citations
IEEE Xplore BibTeX
Joint Approximate Covariance Diagonalization with Applications in MIMO Virtual Beam Design
Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Giuseppe Caire
Global Communications Conference · 2020
arxiv.org arxiv.org BibTeX
WiFi-Based Channel Impulse Response Estimation and Localization via Multi-Band Splicing
Mahdi Barzegar Khalilsarai, Benedikt Groß, Stelios Stefanatos, Gerhard Wunder, Giuseppe Caire
Global Communications Conference · 2020· 1 citations
arxiv.org arxiv.org BibTeX
Structured Channel Covariance Estimation from Limited Samples in Massive\n MIMO
Mahdi Barzegar Khalilsarai, Tianyu Yang, Saeid Haghighatshoar, Giuseppe Caire
arXiv (Cornell University) · 2019
arxiv.org BibTeX
Uplink-Downlink Channel Covariance Transformations and Precoding Design\n for FDD Massive MIMO
Mahdi Barzegar Khalilsarai, Yi Song, Tianyu Yang, Saeid Haghighatshoar, Giuseppe Caire
arXiv (Cornell University) · 2019
arxiv.org BibTeX
WiFi-Based Indoor Localization via Multi-Band Splicing and Phase\n Retrieval
Mahdi Barzegar Khalilsarai, Stelios Stefanatos, Gerhard Wunder, Giuseppe Caire
arXiv (Cornell University) · 2019
arxiv.org BibTeX
Structured Channel Covariance Estimation from Limited Samples in Massive MIMO
Mahdi Barzegar Khalilsarai, Tianyu Yang, Saeid Haghighatshoar, G. Caire
ICC 2020 - 2020 IEEE International Conference on Communications (ICC) · 2019· 18 citations
arxiv.org arxiv.org BibTeX
WiFi-Based Indoor Localization via Multi-Band Splicing and Phase Retrieval
Mahdi Barzegar Khalilsarai, Stelios Stefanatos, Gerhard Wunder, Giuseppe Caire
International Workshop on Signal Processing Advances in Wireless Communications · 2019
arxiv.org arxiv.org BibTeX
Machine Learning for Geometrically-Consistent Angular Spread Function\n Estimation in Massive MIMO
Yi Song, Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Giuseppe Caire
arXiv (Cornell University) · 2019· 1 citations
arxiv.org arxiv.org BibTeX
Randomized Channel Sparsifying Hybrid Precoding for FDD Massive MIMO Systems
Chang Tian, An Liu, Mahdi Barzegar Khalilsarai, Giuseppe Caire, Wu Luo, Minjian Zhao
arXiv (Cornell University) · 2019· 2 citations
arxiv.org arxiv.org BibTeX
Uplink-Downlink Channel Covariance Transformations and Precoding Design for FDD Massive MIMO
Mahdi Barzegar Khalilsarai, Yi Song, Tianyu Yang, Saeid Haghighatshoar, Giuseppe Caire
Asilomar Conference on Signals, Systems and Computers · 2019· 1 citations
arxiv.org arxiv.org BibTeX
FDD Massive MIMO: Efficient Downlink Probing and Uplink Feedback via Active Channel Sparsification
Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Xinping Yi, Giuseppe Caire
2018· 1 citations
arxiv.org BibTeX
FDD Massive MIMO via UL/DL Channel Covariance Extrapolation and Active\n Channel Sparsification
Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Xinping Yi, Giuseppe Caire
arXiv (Cornell University) · 2018
arxiv.org BibTeX
How to Achieve Massive MIMO Gains in FDD Systems?
Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Giuseppe Caire
19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018, Kalamata, Greece, June 25-28, 2018 · 2018· 5 citations
IEEE Xplore BibTeX
FDD Massive MIMO via UL/DL Channel Covariance Extrapolation and Active Channel Sparsification
Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Xinping Yi, Giuseppe Caire
IEEE Transactions on Wireless Communications · 2018· 3 citations
arxiv.org arxiv.org BibTeX
Multi-Band Covariance Interpolation with Applications in Massive MIMO
Saeid Haghighatshoar, Mahdi Barzegar Khalilsarai, Giuseppe Caire
International Symposium on Information Theory · 2018· 4 citations
arxiv.org arxiv.org BibTeX
FDD Massive MIMO: Efficient Downlink Probing and Uplink Feedback via\n Active Channel Sparsification
Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Xinping Yi, Giuseppe Caire
arXiv (Cornell University) · 2017
arxiv.org BibTeX
Compressive Estimation of a Stochastic Process with Unknown\n Autocorrelation Function
Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Giuseppe Caire, Gerhard Wunder
arXiv (Cornell University) · 2017
arxiv.org BibTeX
FDD Massive MIMO: Efficient Downlink Probing and Uplink Feedback via Active Channel Sparsification
Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Xinping Yi, G. Caire
2018 IEEE International Conference on Communications (ICC) · 2017· 8 citations
arxiv.org arxiv.org BibTeX
Efficient Downlink Channel Probing and Uplink Feedback in FDD Massive\n MIMO Systems
Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Giuseppe Caire
arXiv (Cornell University) · 2017· 4 citations
arxiv.org arxiv.org BibTeX

Doctoral theses

Doctoral theses supervised by Prof. Caire at TU Berlin.

Frequency division duplexing massive MIMO
Mahdi Barzegar Khalilsarai · 2021 · Doctoral thesis, TU Berlin
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Publications

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

Joint Approximate Covariance Diagonalization with Applications in MIMO Virtual Beam Design

WiFi-Based Channel Impulse Response Estimation and Localization via Multi-Band Splicing

Structured Channel Covariance Estimation from Limited Samples in Massive\n MIMO

Uplink-Downlink Channel Covariance Transformations and Precoding Design\n for FDD Massive MIMO

WiFi-Based Indoor Localization via Multi-Band Splicing and Phase\n Retrieval

Structured Channel Covariance Estimation from Limited Samples in Massive MIMO

WiFi-Based Indoor Localization via Multi-Band Splicing and Phase Retrieval

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

Randomized Channel Sparsifying Hybrid Precoding for FDD Massive MIMO Systems

Uplink-Downlink Channel Covariance Transformations and Precoding Design for FDD Massive MIMO

FDD Massive MIMO: Efficient Downlink Probing and Uplink Feedback via Active Channel Sparsification

FDD Massive MIMO via UL/DL Channel Covariance Extrapolation and Active\n Channel Sparsification

How to Achieve Massive MIMO Gains in FDD Systems?

FDD Massive MIMO via UL/DL Channel Covariance Extrapolation and Active Channel Sparsification

Multi-Band Covariance Interpolation with Applications in Massive MIMO

FDD Massive MIMO: Efficient Downlink Probing and Uplink Feedback via\n Active Channel Sparsification

Compressive Estimation of a Stochastic Process with Unknown\n Autocorrelation Function

FDD Massive MIMO: Efficient Downlink Probing and Uplink Feedback via Active Channel Sparsification

Efficient Downlink Channel Probing and Uplink Feedback in FDD Massive\n MIMO Systems

Doctoral theses

Frequency division duplexing massive MIMO