74 citations · 98 across the 16 of their papers we have counts for
7 papers · 1 filter
Multiple Measurement Vectors Problem: A Decoupling Property and its Applications
Saeid Haghighatshoar, Giuseppe Caire
We study a Compressed Sensing (CS) problem known as Multiple Measurement Vectors (MMV) problem, which arises in joint estimation of multiple signal realizations when the signal sam…
Efficient Beam Alignment for mmWave Single-Carrier Systems with Hybrid MIMO Transceivers
Xiaoshen Song, Saeid Haghighatshoar, Giuseppe Caire
Communication at millimeter wave (mmWave) bands is expected to become a key ingredient of next generation (5G) wireless networks. Effective mmWave communications require fast and r…
Theoretical Bounds on MAP Estimation in Distributed Sensing Networks
Ali Bereyhi, Saeid Haghighatshoar, Ralf R. Müller
The typical approach for recovery of spatially correlated signals is regularized least squares with a coupled regularization term. In the Bayesian framework, this algorithm is seen…
Hierarchical Sparse Channel Estimation for Massive MIMO
Gerhard Wunder, Ingo Roth, Axel Flinth +4
The problem of wideband massive MIMO channel estimation is considered. Targeting for low complexity algorithms as well as small training overhead, a compressive sensing (CS) approa…
FDD Massive MIMO via UL/DL Channel Covariance Extrapolation and Active Channel Sparsification
Mahdi Barzegar Khalilsarai, Saeid Haghighatshoar, Xinping Yi +1
We propose a novel method for massive Multiple-Input Multiple-Output (massive MIMO) in Frequency Division Duplexing (FDD) systems. Due to the large frequency separation between Upl…
A New Scaling Law for Activity Detection in Massive MIMO Systems
Saeid Haghighatshoar, Peter Jung, Giuseppe Caire
In this paper, we study the problem of \textit{activity detection} (AD) in a massive MIMO setup, where the Base Station (BS) has antennas. We consider a block fading chan…