17 citations · 65 across the 51 of their papers we have counts for
52 papers · 1 filter
Low-complexity tuning of pinching-antenna systems for integrated sensing and communication
Saba Asaad, Chongjun Ouyang, Zhiguo Ding +1
Pinching antenna systems (PASSs) can dynamically adapt their transmit and receive arrays for sensing and communication in wireless systems. This work explores the potential of PASS…
Energy-Efficient Over-the-Air Federated Learning via Pinching Antenna Systems
Saba Asaad, Ali Bereyhi
Pinching antennas systems (PASSs) have recently been proposed as a novel flexible-antenna technology. These systems are implemented by attaching low-cost pinching elements to diele…
MIMO-PASS: Uplink and Downlink Transmission via MIMO Pinching-Antenna Systems
Ali Bereyhi, Chongjun Ouyang, Saba Asaad +2
Pinching-antenna systems (PASSs) are a recent flexible-antenna technology that is realized by attaching simple components, referred to as pinching elements, to dielectric waveguide…
Downlink Beamforming with Pinching-Antenna Assisted MIMO Systems
Ali Bereyhi, Saba Asaad, Chongjun Ouyang +2
Pinching antennas have been recently proposed as a promising flexible-antenna technology, which can be implemented by attaching low-cost pinching elements to dielectric waveguides.…
Graph-based Algorithms for Linear Computation Coding
Hans Rosenberger, Ali Bereyhi, Ralf R. Müller
We revisit existing linear computation coding (LCC) algorithms, and introduce a new framework that measures the computational cost of computing multidimensional linear functions, n…
Linear Computation Coding: Exponential Search and Reduced-State Algorithms
Hans Rosenberger, Johanna S. Fröhlich, Ali Bereyhi +1
Linear computation coding is concerned with the compression of multidimensional linear functions, i.e. with reducing the computational effort of multiplying an arbitrary vector to…
A High-Level Comparison of Recent Technologies for Massive MIMO Architectures
Hans Rosenberger, Bernhard Gäde, Ali Bereyhi +6
Since the introduction of massive MIMO (mMIMO), the design of a transceiver with feasible complexity has been a challenging problem. Initially, it was believed that the main issue…
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…
How to Coordinate Edge Devices for Over-the-Air Federated Learning?
Mohammad Ali Sedaghat, Ali Bereyhi, Saba Asaad +1
This work studies the task of device coordination in wireless networks for over-the-air federated learning (OTA-FL). For conventional metrics of aggregation error, the task is show…
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…
Matching Pursuit Based Scheduling for Over-the-Air Federated Learning
Ali Bereyhi, Adela Vagollari, Saba Asaad +3
This paper develops a class of low-complexity device scheduling algorithms for over-the-air federated learning via the method of matching pursuit. The proposed scheme tracks closel…
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…
Secure Coding via Gaussian Random Fields
Ali Bereyhi, Bruno Loureiro, Florent Krzakala +2
Inverse probability problems whose generative models are given by strictly nonlinear Gaussian random fields show the all-or-nothing behavior: There exists a critical rate at which…
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…
Bayesian Inference with Nonlinear Generative Models: Comments on Secure Learning
Ali Bereyhi, Bruno Loureiro, Florent Krzakala +2
Unlike the classical linear model, nonlinear generative models have been addressed sparsely in the literature of statistical learning. This work aims to bringing attention to these…
On the Ergodic Mutual Information of Keyhole MIMO Channels With Finite-Alphabet Inputs
Chongjun Ouyang, Ali Bereyhi, Saba Asaad +3
This letter studies the ergodic mutual information (EMI) of keyhole multiple-input multiple-output channels having finite-alphabet input signals. The EMI is first investigated for…
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…
Linear Computation Coding
Ralf Müller, Bernhard Gäde, Ali Bereyhi
We introduce the new concept of computation coding. Similar to how rate-distortion theory is concerned with the lossy compression of data, computation coding deals with the lossy c…
Detection of Spatially Modulated Signals via RLS: Theoretical Bounds and Applications
Ali Bereyhi, Saba Asaad, Bernhard Gäde +2
This paper characterizes the performance of massive multiuser spatial modulation MIMO systems, when a regularized form of the least-squares method is used for detection. For a gene…
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…
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…
Efficient Matrix Multiplication: The Sparse Power-of-2 Factorization
Ralf R. Müller, Bernhard Gäde, Ali Bereyhi
We present an algorithm to reduce the computational effort for the multiplication of a given matrix with an unknown column vector. The algorithm decomposes the given matrix into a…
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…