Ralf R. Müller

research

∙ 01/13/2023

Linear Computation Coding: Exponential Search and Reduced-State Algorithms

Linear computation coding is concerned with the compression of multidime...

0 Hans Rosenberger, et al. ∙

research

∙ 12/28/2022

Statistical-CSI-Based Antenna Selection and Precoding in Uplink MIMO

Classical antenna selection schemes require instantaneous channel state ...

0 Chongjun Ouyang, et al. ∙

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...

0 Hans Rosenberger, et al. ∙

research

∙ 12/19/2022

Analysis of Sparse Recovery Algorithms via the Replica Method

This manuscript goes through the fundamental connections between statist...

0 Ali Bereyhi, et al. ∙

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...

0 Ali Bereyhi, et al. ∙

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...

0 Ali Bereyhi, et al. ∙

research

∙ 05/18/2022

Secure Coding via Gaussian Random Fields

Inverse probability problems whose generative models are given by strict...

0 Ali Bereyhi, et al. ∙

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...

0 Ali Bereyhi, et al. ∙

research

∙ 01/19/2022

Bayesian Inference with Nonlinear Generative Models: Comments on Secure Learning

Unlike the classical linear model, nonlinear generative models have been...

7 Ali Bereyhi, et al. ∙

research

∙ 04/22/2021

Designing IRS-Aided MIMO Systems for Secrecy Enhancement

Intelligent reflecting surfaces (IRSs) enable multiple-input multiple-ou...

0 Saba Asaad, et al. ∙

research

∙ 02/26/2021

Oversampled Adaptive Sensing via a Predefined Codebook

Oversampled adaptive sensing (OAS) is a Bayesian framework recently prop...

0 Ali Bereyhi, et al. ∙

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...

0 Ali Bereyhi, et al. ∙

research

∙ 10/15/2020

Secure Transmission in IRS-Assisted MIMO Systems with Active Eavesdroppers

This work studies secure transmission in intelligent reflecting surfaces...

0 Ali Bereyhi, et al. ∙

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 ...

0 Ali Bereyhi, et al. ∙

research

∙ 03/15/2020

On Approximation, Bounding Exact Calculation of Block Error Probability for Random Codes

This paper presents a method to calculate the exact block error probabil...

0 Ralf R. Müller, et al. ∙

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...

0 Ralf R. Müller, et al. ∙

research

∙ 12/10/2019

An Adaptive Bayesian Framework for Recovery of Sources with Structured Sparsity

In oversampled adaptive sensing (OAS), noisy measurements are collected ...

0 Ali Bereyhi, et al. ∙

research

∙ 12/05/2019

Robustness of Low-Complexity Massive MIMO Architectures Against Passive Eavesdropping

Invoking large transmit antenna arrays, massive MIMO wiretap settings ar...

0 Ali Bereyhi, et al. ∙

research

∙ 12/01/2019

Secure Regularized Zero Forcing for Multiuser MIMOME Channels

This paper proposes a new linear precoding scheme for downlink transmiss...

0 Saba Asaad, et al. ∙

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...

0 Ali Bereyhi, et al. ∙

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...

0 Saba Asaad, et al. ∙

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...

0 Ali Bereyhi, et al. ∙

research

∙ 05/13/2019

RLS-Based Detection for Massive Spatial Modulation MIMO

Most detection algorithms in spatial modulation (SM) are formulated as l...

0 Ali Bereyhi, et al. ∙

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...

0 Bernhard Gäde, et al. ∙

research

∙ 11/15/2018

Oversampled Adaptive Sensing with Random Projections: Analysis and Algorithmic Approaches

Oversampled adaptive sensing (OAS) is a recently proposed Bayesian frame...

0 Ralf R. Müller, et al. ∙

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...

0 Ali Bereyhi, et al. ∙

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...

0 Ali Bereyhi, et al. ∙

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...

0 Ali Bereyhi, et al. ∙

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...

0 Ali Bereyhi, et al. ∙

research

∙ 05/30/2018

Theoretical Bounds on MAP Estimation in Distributed Sensing Networks

The typical approach for recovery of spatially correlated signals is reg...

0 Ali Bereyhi, et al. ∙

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...

0 Saba Asaad, et al. ∙

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...

0 Ali Bereyhi, et al. ∙

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...

0 Ali Bereyhi, et al. ∙

research

∙ 02/08/2018

Oversampled Adaptive Sensing

We develop a Bayesian framework for sensing which adapts the sensing tim...

0 Ralf R. Müller, et al. ∙

research

∙ 01/08/2018

Precoding via Approximate Message Passing with Instantaneous Signal Constraints

This paper proposes a low complexity precoding algorithm based on the re...

0 Ali Bereyhi, et al. ∙

Ralf R. Müller

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