
DualPolarized FDD Massive MIMO: A Comprehensive Framework
We propose a comprehensive scheme for realizing a massive multipleinput...
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Joint Approximate Covariance Diagonalization with Applications in MIMO Virtual Beam Design
We study the problem of maximumlikelihood (ML) estimation of an approxi...
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UplinkDownlink Channel Covariance Transformations and Precoding Design for FDD Massive MIMO
A large majority of cellular networks deployed today make use of Frequen...
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GrantFree Massive Random Access With a Massive MIMO Receiver
We consider the problem of unsourced random access (URA), a grantfree ...
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Structured Channel Covariance Estimation from Limited Samples in Massive MIMO
Obtaining channel covariance knowledge is of great importance in various...
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Machine Learning for GeometricallyConsistent Angular Spread Function Estimation in Massive MIMO
In the spatial channel models used in multiantenna wireless communicati...
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NonBayesian Activity Detection, LargeScale 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...
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Massive MIMO Unsourced Random Access
We consider an extension of the massive unsourced random access original...
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Multiple Measurement Vectors Problem: A Decoupling Property and its Applications
Efficient and reliable estimation in many signal processing problems enc...
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Efficient Beam Alignment for mmWave SingleCarrier Systems with Hybrid MIMO Transceivers
Communication at millimeter wave (mmWave) bands is expected to become a ...
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Theoretical Bounds on MAP Estimation in Distributed Sensing Networks
The typical approach for recovery of spatially correlated signals is reg...
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Hierarchical Sparse Channel Estimation for Massive MIMO
The problem of wideband massive MIMO channel estimation is considered. T...
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FDD Massive MIMO via UL/DL Channel Covariance Extrapolation and Active Channel Sparsification
We propose a novel method for massive MultipleInput MultipleOutput (ma...
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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...
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MultiBand Covariance Interpolation with Applications in Massive MIMO
In this paper, we study the problem of multiband (frequencyvariant) co...
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Lowcomplexity and Statistically Robust Beamformer Design for Massive MIMO Systems
Massive MIMO is a variant of multiuser MIMO in which the number of anten...
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A Robust TimeDomain Beam Alignment Scheme for MultiUser Wideband mmWave Systems
Millimeter wave (mmWave) communication with large array gains is a key i...
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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 zerome...
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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...
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Channel Vector Subspace Estimation from LowDimensional Projections
Massive MIMO is a variant of multiuser MIMO where the number of basesta...
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Multi Terminal Probabilistic Compressed Sensing
In this paper, the `Approximate Message Passing' (AMP) algorithm, initia...
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A Fast Hadamard Transform for Signals with Sublinear Sparsity in the Transform Domain
A new iterative low complexity algorithm has been presented for computin...
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Saeid Haghighatshoar
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Postdoctoral Researcher at Technische Universität Berlin since 2015, PhD Student at Ecole polytechnique fédérale de Lausanne from 20102014 , Head Engineer at Sharif University of Technology 20092010.