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10/18/2022
Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation
Spiking neural networks (SNN) have recently emerged as alternatives to t...
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05/20/2022
EXODUS: Stable and Efficient Training of Spiking Neural Networks
Spiking Neural Networks (SNNs) are gaining significant traction in machi...
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10/07/2021
Structured Channel Covariance Estimation from Limited Samples for Large Antenna Arrays
In massive MIMO systems, the knowledge of channel covariance matrix is c...
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08/25/2020
Dual-Polarized FDD Massive MIMO: A Comprehensive Framework
We propose a comprehensive scheme for realizing a massive multiple-input...
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05/29/2020
Joint Approximate Covariance Diagonalization with Applications in MIMO Virtual Beam Design
We study the problem of maximum-likelihood (ML) estimation of an approxi...
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12/05/2019
Uplink-Downlink 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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11/30/2019
Grant-Free Massive Random Access With a Massive MIMO Receiver
We consider the problem of unsourced random access (U-RA), a grant-free ...
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10/31/2019
Structured Channel Covariance Estimation from Limited Samples in Massive MIMO
Obtaining channel covariance knowledge is of great importance in various...
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10/30/2019
Machine Learning for Geometrically-Consistent Angular Spread Function Estimation in Massive MIMO
In the spatial channel models used in multi-antenna wireless communicati...
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10/24/2019
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...
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01/03/2019
Massive MIMO Unsourced Random Access
We consider an extension of the massive unsourced random access original...
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10/31/2018
Multiple Measurement Vectors Problem: A Decoupling Property and its Applications
Efficient and reliable estimation in many signal processing problems enc...
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06/17/2018
Efficient Beam Alignment for mmWave Single-Carrier Systems with Hybrid MIMO Transceivers
Communication at millimeter wave (mmWave) bands is expected to become a ...
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05/30/2018
Theoretical Bounds on MAP Estimation in Distributed Sensing Networks
The typical approach for recovery of spatially correlated signals is reg...
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03/29/2018
Hierarchical Sparse Channel Estimation for Massive MIMO
The problem of wideband massive MIMO channel estimation is considered. T...
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03/15/2018
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...
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03/06/2018
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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01/11/2018
Multi-Band Covariance Interpolation with Applications in Massive MIMO
In this paper, we study the problem of multi-band (frequency-variant) co...
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11/30/2017
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...
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11/29/2017
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...
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05/09/2017
Compressive Estimation of a Stochastic Process with Unknown Autocorrelation Function
In this paper, we study the prediction of a circularly symmetric zero-me...
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01/30/2017
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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09/24/2015
Channel Vector Subspace Estimation from Low-Dimensional Projections
Massive MIMO is a variant of multiuser MIMO where the number of base-sta...
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01/11/2014
Multi Terminal Probabilistic Compressed Sensing
In this paper, the `Approximate Message Passing' (AMP) algorithm, initia...
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10/07/2013