research
∙
01/13/2023
Linear Computation Coding: Exponential Search and Reduced-State Algorithms
Linear computation coding is concerned with the compression of multidime...
share
research
∙
12/28/2022
Statistical-CSI-Based Antenna Selection and Precoding in Uplink MIMO
Classical antenna selection schemes require instantaneous channel state ...
research
∙
12/22/2022
A High-Level Comparison of Recent Technologies for Massive MIMO Architectures
Since the introduction of massive MIMO (mMIMO), the design of a transcei...
research
∙
12/19/2022
Analysis of Sparse Recovery Algorithms via the Replica Method
This manuscript goes through the fundamental connections between statist...
research
∙
11/07/2022
How to Coordinate Edge Devices for Over-the-Air Federated Learning?
This work studies the task of device coordination in wireless networks f...
research
∙
10/24/2022
A Novel Antenna Placement Algorithm for Compressive Sensing MIMO Radar
In colocated compressive sensing MIMO radar, the measurement matrix is s...
research
∙
06/14/2022
Matching Pursuit Based Scheduling for Over-the-Air Federated Learning
This paper develops a class of low-complexity device scheduling algorith...
research
∙
05/31/2022
How Should IRSs Scale to Harden Multi-Antenna Channels?
This work extends the concept of channel hardening to multi-antenna syst...
research
∙
05/18/2022
Secure Coding via Gaussian Random Fields
Inverse probability problems whose generative models are given by strict...
research
∙
03/22/2022
Channel Hardening of IRS-Aided Multi-Antenna Systems: How Should IRSs Scale?
Unlike active array antennas, intelligent reflecting surfaces (IRSs) are...
research
∙
01/19/2022
Bayesian Inference with Nonlinear Generative Models: Comments on Secure Learning
Unlike the classical linear model, nonlinear generative models have been...
research
∙
04/22/2021
Designing IRS-Aided MIMO Systems for Secrecy Enhancement
Intelligent reflecting surfaces (IRSs) enable multiple-input multiple-ou...
research
∙
02/26/2021
Oversampled Adaptive Sensing via a Predefined Codebook
Oversampled adaptive sensing (OAS) is a Bayesian framework recently prop...
research
∙
01/31/2021
Linear Computation Coding
We introduce the new concept of computation coding. Similar to how rate-...
research
∙
11/13/2020
Detection of Spatially Modulated Signals via RLS: Theoretical Bounds and Applications
This paper characterizes the performance of massive multiuser spatial mo...
research
∙
10/15/2020
Secure Transmission in IRS-Assisted MIMO Systems with Active Eavesdroppers
This work studies secure transmission in intelligent reflecting surfaces...
research
∙
03/17/2020
A Single-RF Architecture for Multiuser Massive MIMO via Reflecting Surfaces
In this work, we propose a new single-RF MIMO architecture which enjoys ...
research
∙
02/10/2020
Efficient Matrix Multiplication: The Sparse Power-of-2 Factorization
We present an algorithm to reduce the computational effort for the multi...
research
∙
12/10/2019
An Adaptive Bayesian Framework for Recovery of Sources with Structured Sparsity
In oversampled adaptive sensing (OAS), noisy measurements are collected ...
research
∙
12/05/2019
Robustness of Low-Complexity Massive MIMO Architectures Against Passive Eavesdropping
Invoking large transmit antenna arrays, massive MIMO wiretap settings ar...
research
∙
12/01/2019
Secure Regularized Zero Forcing for Multiuser MIMOME Channels
This paper proposes a new linear precoding scheme for downlink transmiss...
research
∙
12/01/2019
PAPR-Limited Precoding in Massive MIMO Systems with Reflect- and Transmit-Array Antennas
Conventional hybrid analog-digital architectures for millimeter-wave mas...
research
∙
10/24/2019
Joint User Selection and Precoding in Multiuser MIMO Systems via Group LASSO
Joint user selection and precoding in multiuser MIMO settings can be int...
research
∙
05/13/2019
RLS Precoding for Massive MIMO Systems with Nonlinear Front-End
To keep massive MIMO systems cost-efficient, power amplifiers with rathe...
research
∙
05/13/2019
RLS-Based Detection for Massive Spatial Modulation MIMO
Most detection algorithms in spatial modulation (SM) are formulated as l...
research
∙
04/03/2019
A Fair Comparison Between Spatial Modulation and Antenna Selection in Massive MIMO Systems
Both antenna selection and spatial modulation allow for low-complexity M...
research
∙
11/15/2018
Oversampled Adaptive Sensing with Random Projections: Analysis and Algorithmic Approaches
Oversampled adaptive sensing (OAS) is a recently proposed Bayesian frame...
research
∙
08/14/2018
On Robustness of Massive MIMO Systems Against Passive Eavesdropping under Antenna Selection
In massive MIMO wiretap settings, the base station can significantly sup...
research
∙
08/06/2018
GLSE Precoders for Massive MIMO Systems: Analysis and Applications
This paper proposes the class of Generalized Least-Square-Error (GLSE) p...
research
∙
05/30/2018
Iterative Antenna Selection for Secrecy Enhancement in Massive MIMO Wiretap Channels
The growth of interest in massive MIMO systems is accompanied with hardw...
research
∙
05/30/2018
RLS Recovery with Asymmetric Penalty: Fundamental Limits and Algorithmic Approaches
This paper studies regularized least square recovery of signals whose sa...
research
∙
05/30/2018
Theoretical Bounds on MAP Estimation in Distributed Sensing Networks
The typical approach for recovery of spatially correlated signals is reg...
research
∙
03/04/2018
Optimal Transmit Antenna Selection for Massive MIMO Wiretap Channels
In this paper, we study the impacts of transmit antenna selection on the...
research
∙
02/15/2018
Maximum-A-Posteriori Signal Recovery with Prior Information: Applications to Compressive Sensing
This paper studies the asymptotic performance of maximum-a-posteriori es...
research
∙
02/14/2018
Stepwise Transmit Antenna Selection in Downlink Massive Multiuser MIMO
Due to the large power consumption in RF-circuitry of massive MIMO syste...
research
∙
02/08/2018
Oversampled Adaptive Sensing
We develop a Bayesian framework for sensing which adapts the sensing tim...
research
∙
01/08/2018