activity
20222026
most citedMachine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches

33 citations · 78 across the 26 of their papers we have counts for

collaborators

27 papers

eess.SP2026

Evolution Toward Sensing-Enabled RAN: Practical Bistatic Sensing via Uplink

Kenan Turbic, Khanh-Toan Pham, Slawomir Stanczak

This paper considers uplink channel state information (CSI)-based sensing as an opportunistic approach to enabling sensing in cellular networks, with minimum required modifications…

eess.SP2026

ISAC Beamforming Design Based on a Matrix Nearness Formulation With Improved Efficiency

Berkan Kilic, Kenan Turbic, Slawomir Stanczak

We propose an integrated sensing and communication (ISAC) beamforming method that performs joint multiple-input multiple-output (MIMO) radar sensing and multi-user MIMO communicati…

eess.SP2026★ 3 cited

Waveform Design for Simultaneous MIMO Radar Sensing and Multi-User Communication

Berkan Kilic, Kenan Turbic, Slawomir Stanczak

This paper proposes a novel two-stage joint waveform design framework for multi-antenna Integrated Sensing and Communication (ISAC) systems that simultaneously enable Multiple-Inpu…

eess.SP2026

Transmit Beamformer Design for Beampattern Synthesis in Phased-Array Radar Systems

Berkan Kilic, Kenan Turbic, Slawomir Stanczak

This paper presents a phased-array transmit beamformer design for beampattern matching and interference suppression. We propose an optimization framework jointly addressing these t…

eess.SP2025

On Level Crossings and Fade Durations in von Mises-Fisher Scattering Channels

Kenan Turbic, Slawomir Stanczak

This paper investigates the second-order statistics of multipath fading channels with von Mises-Fisher (vMF) distributed scatters. Simple closed-form expressions for the mean Doppl…

cs.NI2024

An Optimization Driven Link SINR Assurance in RIS-assisted Indoor Networks

Cao Vien Phung, Max Franke, Ehsan Tohidi +5

Future smart factories are expected to deploy applications over high-performance indoor wireless channels in the millimeter-wave (mmWave) bands, which on the other hand are suscept…

eess.SP2024★ 1 cited

An Age of Information Characterization of SPS

Maria Bezmenov, Matthias Frey, Zoran Utkovski +1

We derive a closed-form approximation of the stationary distribution of the Age of Information (AoI) of the semi-persistent scheduling (SPS) protocol which is a core part of NR-V2X…

eess.SP2024★ 5 cited

Correlation Properties in Channels with von Mises-Fisher Distribution of Scatterers

Kenan Turbic, Martin Kasparick, Slawomir Stanczak

This letter presents simple analytical expressions for the spatial and temporal correlation functions in channels with von Mises-Fisher (vMF) scattering. In contrast to previous re…

eess.SP2024★ 4 cited

Doppler Power Spectrum in Channels with von Mises-Fisher Distribution of Scatterers

Kenan Turbic, Martin Kasparick, Slawomir Stanczak

This paper presents an analytical analysis of the Doppler spectrum in von Mises-Fisher (vMF) scattering channels. A simple closed-form expression for the Doppler spectrum is derive…

cs.IT2024

Evolution of the 5G New Radio Two-Step Random Access towards 6G Unsourced MAC

Patrick Agostini, Jean-Francois Chamberland, Federico Clazzer +7

This report summarizes some considerations on possible evolutions of grant-free random access in the next generation of the 3GPP wireless cellular standard. The analysis is carried…

cs.LG2024

Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck

Yuzhen Ke, Zoran Utkovski, Mehdi Heshmati +3

An important use case of next-generation wireless systems is device-edge co-inference, where a semantic task is partitioned between a device and an edge server. The device carries…

cs.DC2023

Coded Distributed Image Classification

Jiepeng Tang, Navneet Agrawal, Slawomir Stanczak +1

In this paper, we present a coded computation (CC) scheme for distributed computation of the inference phase of machine learning (ML) tasks, specifically, the task of image classif…

eess.SP2023

D-Band RIS as a Reflect Array: Characterization and Hardware Impairments Study

Ehsan Tohidi, Robert Stoecker, Julia-Marie Koeszegi +1

Reflecting intelligent surface (RIS) has emerged as a promising technology for enhancing wireless communication performance and enabling new applications in 6G networks with potent…

cs.IT2023

On the Limits of HARQ Prediction for Short Deterministic Codes with Error Detection in Memoryless Channels (Extended Version with Proofs)

Barış Göktepe, Cornelius Hellge, Tatiana Rykova +2

We provide a mathematical framework to analyze the limits of Hybrid Automatic Repeat reQuest (HARQ) and derive analytical expressions for the most powerful test for estimating the…

eess.SP2023

Near-Optimal LOS and Orientation Aware Intelligent Reflecting Surface Placement

Ehsan Tohidi, Sven Haesloop, Lars Thiele +1

Due to their passive nature and thus low energy consumption, intelligent reflecting surfaces (IRSs) have shown promise as means of extending coverage as a proxy for connection reli…

eess.SP2023★ 1 cited

BiSPARCs for Unsourced Random Access in Massive MIMO

Patrick Agostini, Zoran Utkovski, Slawomir Stanczak

This paper considers the massive MIMO unsourced random access problem in a quasi-static Rayleigh fading setting. The proposed coding scheme is based on a concatenation of a "conven…

cs.NI2023★ 33 cited

Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches

Alexandros Palaios, Christian L. Vielhaus, Daniel F. Külzer +11

As cellular networks evolve towards the 6th generation, machine learning is seen as a key enabling technology to improve the capabilities of the network. Machine learning provides…

cs.IT2023

UL-DL duality for cell-free massive MIMO with per-AP power and information constraints

Lorenzo Miretti, Renato L. G. Cavalcante, Emil Björnson +1

We derive a novel uplink-downlink duality principle for optimal joint precoding design under per-transmitter power and information constraints in fading channels. The information c…

cs.NI2023★ 17 cited

Toward an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets

Rodrigo Hernangómez, Alexandros Palaios, Cara Watermann +13

This paper presents two wireless measurement campaigns in industrial testbeds: industrial Vehicle-to-vehicle (iV2V) and industrial Vehicle-to-infrastructure plus Sensor (iV2I+), to…

eess.SP2022★ 1 cited

Machine Learning-based Methods for Reconfigurable Antenna Mode Selection in MIMO Systems

Yasaman Abdollahian, Ehsan Tohidi, Martin Kasparick +3

MIMO technology has enabled spatial multiple access and has provided a higher system spectral efficiency (SE). However, this technology has some drawbacks, such as the high number…

cs.IT2022

MIMO Systems with Reconfigurable Antennas: Joint Channel Estimation and Mode Selection

Fariba Armandoust, Ehsan Tohidi, Martin Kasparick +3

Reconfigurable antennas (RAs) are a promising technology to enhance the capacity and coverage of wireless communication systems. However, RA systems have two major challenges: (i)…

cs.IT2022

Estimation of Doubly-Dispersive Channels in Linearly Precoded Multicarrier Systems Using Smoothness Regularization

Andreas Pfadler, Tom Szollmann, Peter Jung +1

In this paper, we propose a novel channel estimation scheme for pulse-shaped multicarrier systems using smoothness regularization for ultra-reliable low-latency communication (URLL…

cs.IT2022

Constant Weight Codes with Gabor Dictionaries and Bayesian Decoding for Massive Random Access

Patrick Agostini, Zoran Utkovski, Alexis Decurninge +2

This paper considers a general framework for massive random access based on sparse superposition coding. We provide guidelines for the code design and propose the use of constant-w…

eess.SP2022

Parallel APSM for Fast and Adaptive Digital SIC in Full-Duplex Transceivers with Nonlinearity

M. Hossein Attar, Omid Taghizadeh, Kaxin Chang +3

This paper presents a kernel-based adaptive filter that is applied for the digital domain self-interference cancellation (SIC) in a transceiver operating in full-duplex (FD) mode.…