122 citations · 306 across the 35 of their papers we have counts for
46 papers · 1 filter
Multi-Antenna Towards Inband Shift Keying
Ralf R. Müller
We propose a new continuous phase frequency shift keying that is particularly suited for multi-antenna communications when the link budget is critical and beam alignment is problem…
Analysis of Sparse Recovery Algorithms via the Replica Method
Ali Bereyhi, Ralf R. Müller, Hermann Schulz-Baldes
This manuscript goes through the fundamental connections between statistical mechanics and estimation theory by focusing on the particular problem of compressive sensing. We first…
A Novel Antenna Placement Algorithm for Compressive Sensing MIMO Radar
Bastian Eisele, Ali Bereyhi, Ingrid Ullmann +1
In colocated compressive sensing MIMO radar, the measurement matrix is specified by antenna placement. To guarantee an acceptable recovery performance, this measurement matrix shou…
How Should IRSs Scale to Harden Multi-Antenna Channels?
Ali Bereyhi, Saba Asaad, Chongjun Ouyang +3
This work extends the concept of channel hardening to multi-antenna systems that are aided by intelligent reflecting surfaces (IRSs). For fading links between a multi-antenna trans…
Channel Hardening of IRS-Aided Multi-Antenna Systems: How Should IRSs Scale?
Ali Bereyhi, Saba Asaad, Chongjun Ouyang +3
Unlike active array antennas, intelligent reflecting surfaces (IRSs) are efficiently implemented at large dimensions. This allows for traceable realizations of large-scale IRS-aide…
Designing IRS-Aided MIMO Systems for Secrecy Enhancement
Saba Asaad, Yifei Wu, Ali Bereyhi +3
Intelligent reflecting surfaces (IRSs) enable multiple-input multiple-output (MIMO) transmitters to modify the communication channels between the transmitters and receivers. In the…
Oversampled Adaptive Sensing via a Predefined Codebook
Ali Bereyhi, Saba Asaad, Ralf R. Müller
Oversampled adaptive sensing (OAS) is a Bayesian framework recently proposed for effective sensing of structured signals in a time-limited setting. In contrast to the conventional…
Secure Transmission in IRS-Assisted MIMO Systems with Active Eavesdroppers
Ali Bereyhi, Saba Asaad, Ralf R. Müller +2
This work studies secure transmission in intelligent reflecting surfaces (IRS)-assisted MIMO systems when an active eavesdropper is available in the network. We consider a scenario…
Soft Interference Cancellation for Random Coding in Massive Gaussian Multiple-Access
Ralf Müller
In 2017, Polyanskiy [1] showed that the trade-off between power and bandwidth efficiency for massive Gaussian random access is governed by two fundamentally different regimes: low…
A Single-RF Architecture for Multiuser Massive MIMO via Reflecting Surfaces
Ali Bereyhi, Vahid Jamali, Ralf R. Müller +3
In this work, we propose a new single-RF MIMO architecture which enjoys high scalability and energy-efficiency. The transmitter in this proposal consists of a single RF illuminator…
On Approximation, Bounding & Exact Calculation of Block Error Probability for Random Code Ensembles
Ralf R. Müller
This paper presents a method to calculate the exact average block error probability of some random code ensembles under maximum-likelihood decoding. The proposed method is applicab…
An Adaptive Bayesian Framework for Recovery of Sources with Structured Sparsity
Ali Bereyhi, Ralf R. Müller
In oversampled adaptive sensing (OAS), noisy measurements are collected in multiple subframes. The sensing basis in each subframe is adapted according to some posterior information…
Robustness of Low-Complexity Massive MIMO Architectures Against Passive Eavesdropping
Ali Bereyhi, Saba Asaad, Ralf R. Müller +3
Invoking large transmit antenna arrays, massive MIMO wiretap settings are capable of suppressing passive eavesdroppers via narrow beamforming towards legitimate terminals. This imp…
Secure Regularized Zero Forcing for Multiuser MIMOME Channels
Saba Asaad, Ali Bereyhi, Ralf R. Müller +1
This paper proposes a new linear precoding scheme for downlink transmission in MIMOME channels, referred to as secure regularized zero forcing. The scheme modifies regularized zero…
PAPR-Limited Precoding in Massive MIMO Systems with Reflect- and Transmit-Array Antennas
Ali Bereyhi, Vahid Jamali, Ralf R. Müller +3
Conventional hybrid analog-digital architectures for millimeter-wave massive multiple-input multiple-output (MIMO) systems suffer from poor scalability and high implementational co…
Joint User Selection and Precoding in Multiuser MIMO Systems via Group LASSO
Saba Asaad, Ali Bereyhi, Ralf R. Muller +1
Joint user selection and precoding in multiuser MIMO settings can be interpreted as group sparse recovery in linear models. In this problem, a signal with group sparsity is to be r…
RLS-Based Detection for Massive Spatial Modulation MIMO
Ali Bereyhi, Saba Asaad, Bernhard Gäde +1
Most detection algorithms in spatial modulation (SM) are formulated as linear regression via the regularized least-squares (RLS) method. In this method, the transmit signal is esti…
A Fair Comparison Between Spatial Modulation and Antenna Selection in Massive MIMO Systems
Bernhard Gäde, Ali Bereyhi, Saba Asaad +1
Both antenna selection and spatial modulation allow for low-complexity MIMO transmitters when the number of RF chains is much lower than the number of transmit antennas. In this ma…
Intelligent Surface-Aided Transmitter Architectures for Millimeter Wave Ultra Massive MIMO Systems
Vahid Jamali, Antonia M. Tulino, Georg Fischer +2
In this paper, we study two novel massive multiple-input multiple-output (MIMO) transmitter architectures for millimeter wave (mmWave) communications which comprise few active ante…
Oversampled Adaptive Sensing with Random Projections: Analysis and Algorithmic Approaches
Ralf R. Müller, Ali Bereyhi, Christoph F. Mecklenbräuker
Oversampled adaptive sensing (OAS) is a recently proposed Bayesian framework which sequentially adapts the sensing basis. In OAS, estimation quality is, in each step, measured by c…
GLSE Precoders for Massive MIMO Systems: Analysis and Applications
Ali Bereyhi, Mohammad Ali Sedaghat, Ralf R. Müller +1
This paper proposes the class of Generalized Least-Square-Error (GLSE) precoders for multiuser massive MIMO systems. For a generic transmit constellation, GLSE precoders minimize t…
RLS Recovery with Asymmetric Penalty: Fundamental Limits and Algorithmic Approaches
Ali Bereyhi, Mohammad Ali Sedaghat, Ralf R. Müller
This paper studies regularized least square recovery of signals whose samples' prior distributions are nonidentical, e.g., signals with time-variant sparsity. For this model, Bayes…
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…
Optimal Transmit Antenna Selection for Massive MIMO Wiretap Channels
Saba Asaad, Ali Bereyhi, Amir M. Rabiei +2
In this paper, we study the impacts of transmit antenna selection on the secrecy performance of massive MIMO systems. We consider a wiretap setting in which a fixed number of trans…