Saeid Haghighatshoar

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EPFL ∙ Berlin Institute of Technology (Technische Universität Berlin)

Postdoctoral Researcher at Technische Universität Berlin since 2015, PhD Student at Ecole polytechnique fédérale de Lausanne from 2010-2014 , Head Engineer at Sharif University of Technology 2009-2010.

Dual-Polarized FDD Massive MIMO: A Comprehensive Framework

We propose a comprehensive scheme for realizing a massive multiple-input...
08/25/2020 ∙ by Mahdi Barzegar Khalilsarai, et al. ∙ 0 ∙ share

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Joint Approximate Covariance Diagonalization with Applications in MIMO Virtual Beam Design

We study the problem of maximum-likelihood (ML) estimation of an approxi...
05/29/2020 ∙ by Mahdi Barzegar Khalilsarai, et al. ∙ 0 ∙ share

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

A large majority of cellular networks deployed today make use of Frequen...
12/05/2019 ∙ by Mahdi Barzegar Khalilsarai, et al. ∙ 0 ∙ share

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Grant-Free Massive Random Access With a Massive MIMO Receiver

We consider the problem of unsourced random access (U-RA), a grant-free ...
11/30/2019 ∙ by Alexander Fengler, et al. ∙ 0 ∙ share

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Structured Channel Covariance Estimation from Limited Samples in Massive MIMO

Obtaining channel covariance knowledge is of great importance in various...
10/31/2019 ∙ by Mahdi Barzegar Khalilsarai, et al. ∙ 0 ∙ share

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

In the spatial channel models used in multi-antenna wireless communicati...
10/30/2019 ∙ by Yi Song, et al. ∙ 0 ∙ share

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Non-Bayesian Activity Detection, Large-Scale Fading Coefficient Estimation, and Unsourced Random Access with a Massive MIMO Receiver

In this paper, we study the problem of user activity detection and large...
10/24/2019 ∙ by Alexander Fengler, et al. ∙ 0 ∙ share

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Massive MIMO Unsourced Random Access

We consider an extension of the massive unsourced random access original...
01/03/2019 ∙ by Alexander Fengler, et al. ∙ 0 ∙ share

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Multiple Measurement Vectors Problem: A Decoupling Property and its Applications

Efficient and reliable estimation in many signal processing problems enc...
10/31/2018 ∙ by Saeid Haghighatshoar, et al. ∙ 0 ∙ share

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Efficient Beam Alignment for mmWave Single-Carrier Systems with Hybrid MIMO Transceivers

Communication at millimeter wave (mmWave) bands is expected to become a ...
06/17/2018 ∙ by Xiaoshen Song, et al. ∙ 0 ∙ share

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Theoretical Bounds on MAP Estimation in Distributed Sensing Networks

The typical approach for recovery of spatially correlated signals is reg...
05/30/2018 ∙ by Ali Bereyhi, et al. ∙ 0 ∙ share

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Hierarchical Sparse Channel Estimation for Massive MIMO

The problem of wideband massive MIMO channel estimation is considered. T...
03/29/2018 ∙ by Gerhard Wunder, et al. ∙ 0 ∙ share

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

We propose a novel method for massive Multiple-Input Multiple-Output (ma...
03/15/2018 ∙ by Mahdi Barzegar Khalilsarai, et al. ∙ 0 ∙ share

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Improved Scaling Law for Activity Detection in Massive MIMO Systems

In this paper, we study the problem of activity detection (AD) in a mass...
03/06/2018 ∙ by Saeid Haghighatshoar, et al. ∙ 0 ∙ share

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Multi-Band Covariance Interpolation with Applications in Massive MIMO

In this paper, we study the problem of multi-band (frequency-variant) co...
01/11/2018 ∙ by Saeid Haghighatshoar, et al. ∙ 0 ∙ share

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Low-complexity and Statistically Robust Beamformer Design for Massive MIMO Systems

Massive MIMO is a variant of multiuser MIMO in which the number of anten...
11/30/2017 ∙ by Mahdi Nouri Boroujerdi, et al. ∙ 0 ∙ share

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A Robust Time-Domain Beam Alignment Scheme for Multi-User Wideband mmWave Systems

Millimeter wave (mmWave) communication with large array gains is a key i...
11/29/2017 ∙ by Xiaoshen Song, et al. ∙ 0 ∙ share

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Compressive Estimation of a Stochastic Process with Unknown Autocorrelation Function

In this paper, we study the prediction of a circularly symmetric zero-me...
05/09/2017 ∙ by Mahdi Barzegar Khalilsarai, et al. ∙ 0 ∙ share

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Signal Recovery from Unlabeled Samples

In this paper, we study the recovery of a signal from a set of noisy lin...
01/30/2017 ∙ by Saeid Haghighatshoar, et al. ∙ 0 ∙ share

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Channel Vector Subspace Estimation from Low-Dimensional Projections

Massive MIMO is a variant of multiuser MIMO where the number of base-sta...
09/24/2015 ∙ by Saeid Haghighatshoar, et al. ∙ 0 ∙ share

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Multi Terminal Probabilistic Compressed Sensing

In this paper, the `Approximate Message Passing' (AMP) algorithm, initia...
01/11/2014 ∙ by Saeid Haghighatshoar, et al. ∙ 0 ∙ share

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A Fast Hadamard Transform for Signals with Sub-linear Sparsity in the Transform Domain

A new iterative low complexity algorithm has been presented for computin...
10/07/2013 ∙ by Robin Scheibler, et al. ∙ 0 ∙ share

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Saeid Haghighatshoar

Featured Co-authors

Giuseppe Caire

Peter Jung

Ali Bereyhi

Ralf R. Müller

Gitta Kutyniok

Gerhard Wunder

Xinping Yi

Tianyu Yang

Robin Scheibler

Martin Vetterli

Mahdi Barzegar Khalilsarai

Dual-Polarized FDD Massive MIMO: A Comprehensive Framework

Joint Approximate Covariance Diagonalization with Applications in MIMO Virtual Beam Design

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

Grant-Free Massive Random Access With a Massive MIMO Receiver

Structured Channel Covariance Estimation from Limited Samples in Massive MIMO

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

Non-Bayesian Activity Detection, Large-Scale Fading Coefficient Estimation, and Unsourced Random Access with a Massive MIMO Receiver

Massive MIMO Unsourced Random Access

Multiple Measurement Vectors Problem: A Decoupling Property and its Applications

Efficient Beam Alignment for mmWave Single-Carrier Systems with Hybrid MIMO Transceivers

Theoretical Bounds on MAP Estimation in Distributed Sensing Networks

Hierarchical Sparse Channel Estimation for Massive MIMO

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

Improved Scaling Law for Activity Detection in Massive MIMO Systems

Multi-Band Covariance Interpolation with Applications in Massive MIMO

Low-complexity and Statistically Robust Beamformer Design for Massive MIMO Systems

A Robust Time-Domain Beam Alignment Scheme for Multi-User Wideband mmWave Systems

Compressive Estimation of a Stochastic Process with Unknown Autocorrelation Function

Signal Recovery from Unlabeled Samples

Channel Vector Subspace Estimation from Low-Dimensional Projections

Multi Terminal Probabilistic Compressed Sensing

A Fast Hadamard Transform for Signals with Sub-linear Sparsity in the Transform Domain