106 citations · 285 across the 19 of their papers we have counts for
21 papers
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…
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…
QoS prediction in radio vehicular environments via prior user information
Noor Ul Ain, Rodrigo Hernangómez, Alexandros Palaios +2
Reliable wireless communications play an important role in the automotive industry as it helps to enhance current use cases and enable new ones such as connected autonomous driving…
Convergence of Manufacturing and Networking in Future Factories
Ilaria Malanchini, Nicola Michailow, Patrick Agostini +8
The roll out of 5G has been mainly characterized by its distinct support for vertical industries, especially manufacturing. Leveraging synergies among these two worlds, namely prod…
From Empirical Measurements to Augmented Data Rates: A Machine Learning Approach for MCS Adaptation in Sidelink Communication
Asif Abdullah Rokoni, Daniel Schäufele, Martin Kasparick +1
Due to the lack of a feedback channel in the C-V2X sidelink, finding a suitable modulation and coding scheme (MCS) is a difficult task. However, recent use cases for vehicle-to-eve…
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…
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…
Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies
Rodrigo Hernangómez, Philipp Geuer, Alexandros Palaios +14
The evolution of wireless communications into 6G and beyond is expected to rely on new machine learning (ML)-based capabilities. These can enable proactive decisions and actions fr…
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…
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)…
GPU-accelerated partially linear multiuser detection for 5G and beyond URLLC systems
Matthias Mehlhose, Guillermo Marcus, Daniel Schäufele +6
In this feasibility study, we have implemented a recently proposed partially linear multiuser detection algorithm in reproducing kernel Hilbert spaces (RKHSs) on a GPU-accelerated…
Hybrid Model and Data Driven Algorithm for Online Learning of Any-to-Any Path Loss Maps
M. A. Gutierrez-Estevez, Martin Kasparick, Renato L. G. Cavalvante +1
Learning any-to-any (A2A) path loss maps, where the objective is the reconstruction of path loss between any two given points in a map, might be a key enabler for many applications…
Transfer Learning in Multi-Agent Reinforcement Learning with Double Q-Networks for Distributed Resource Sharing in V2X Communication
Hammad Zafar, Zoran Utkovski, Martin Kasparick +1
This paper addresses the problem of decentralized spectrum sharing in vehicle-to-everything (V2X) communication networks. The aim is to provide resource-efficient coexistence of ve…
Leveraging Machine Learning for Industrial Wireless Communications
Ilaria Malanchini, Patrick Agostini, Khurshid Alam +10
Two main trends characterize today's communication landscape and are finding their way into industrial facilities: the rollout of 5G with its distinct support for vertical industri…
Stable Wireless Network Control Under Service Constraints
Martin Kasparick, Gerhard Wunder
We consider the design of wireless queueing network control policies with particular focus on combining stability with additional application-dependent requirements. Thereby, we co…
Spline Waveforms and Interference Analysis for 5G Random Access with Short Message Support
Gerhard Wunder, Martin Kasparick, Peter Jung
One of the main drivers for new waveforms in future 5G wireless communication systems is to handle efficiently the variety of traffic types and requirements. In this paper, we intr…
Kernel-Based Adaptive Online Reconstruction of Coverage Maps With Side Information
Martin Kasparick, Renato L. G. Cavalcante, Stefan Valentin +2
In this paper, we address the problem of reconstructing coverage maps from path-loss measurements in cellular networks. We propose and evaluate two kernel-based adaptive online alg…
Autonomous Algorithms for Centralized and Distributed Interference Coordination: A Virtual Layer Based Approach
Martin Kasparick, Gerhard Wunder
Interference mitigation techniques are essential for improving the performance of interference limited wireless networks. In this paper, we introduce novel interference mitigation…
Stability and Cost Optimization in Controlled Random Walks Using Scheduling Fields
Gerhard Wunder, Chan Zhou, Martin Kasparick
The control of large queueing networks is a notoriously difficult problem. Recently, an interesting new policy design framework for the control problem called h-MaxWeight has been…
5GNOW: Challenging the LTE Design Paradigms of Orthogonality and Synchronicity
Gerhard Wunder, Martin Kasparick, Stephan ten Brink +13
LTE and LTE-Advanced have been optimized to deliver high bandwidth pipes to wireless users. The transport mechanisms have been tailored to maximize single cell performance by enfor…
Wireless Network Design Under Service Constraints
Martin Kasparick, Gerhard Wunder
In this paper we consider the design of wireless queueing network control policies with special focus on application-dependent service constraints. In particular we consider stream…