research
∙
05/25/2023
Phase-Based Breathing Rate Monitoring in Patient Rooms Using 6G Terahertz Technology
The 6G standard aims to be an integral part of the future economy by pro...
share
research
∙
12/19/2022
Lessons from Robot-Assisted Disaster Response Deployments by the German Rescue Robotics Center Task Force
Earthquakes, fire, and floods often cause structural collapses of buildi...
research
∙
01/27/2022
System Modeling and Performance Evaluation of Predictive QoS for Future Tele-Operated Driving
Future Tele-operated Driving (ToD) applications place challenging Qualit...
research
∙
12/15/2021
DRaGon: Mining Latent Radio Channel Information from Geographical Data Leveraging Deep Learning
Radio channel modeling is one of the most fundamental aspects in the pro...
research
∙
09/09/2021
Machine Learning-Enabled Data Rate Prediction for 5G NSA Vehicle-to-Cloud Communications
In order to satisfy the ever-growing Quality of Service (QoS) requiremen...
research
∙
08/29/2021
Modeling and Simulation of Reconfigurable Intelligent Surfaces for Hybrid Aerial and Ground-based Vehicular Communications
The requirements of vehicular communications grow with increasing level ...
research
∙
07/21/2021
Pushing the Limits: Resilience Testing for Mission-Critical Machine-Type Communication
Interdisciplinary application fields, such as automotive, industrial app...
research
∙
07/13/2021
Towards Machine Learning-Enabled Context Adaption for Reliable Aerial Mesh Routing
In this paper, we present Context-Adaptive PARRoT (CA-PARRoT) as an exte...
research
∙
02/17/2021
Client-Based Intelligence for Resource Efficient Vehicular Big Data Transfer in Future 6G Network
Vehicular big data is anticipated to become the "new oil" of the automot...
research
∙
01/19/2021
Flying Robots for Safe and Efficient Parcel Delivery Within the COVID-19 Pandemic
The integration of small-scale Unmanned Aerial Vehicles (UAVs) into Inte...
research
∙
12/10/2020
PARRoT: Predictive Ad-hoc Routing Fueled by Reinforcement Learning and Trajectory Knowledge
Swarms of collaborating Unmanned Aerial Vehicles (UAVs) that utilize ad-...
research
∙
08/18/2020
Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge
Methods for accurate prediction of radio signal quality parameters are c...
research
∙
08/17/2020
The Best of Both Worlds: Hybrid Data-Driven and Model-Based Vehicular Network Simulation
The analysis of the end-to-end behavior of novel mobile communication me...
research
∙
07/20/2020
Acting Selfish for the Good of All: Contextual Bandits for Resource-Efficient Transmission of Vehicular Sensor Data
as a novel client-based method for resource-efficient opportunistic tran...
research
∙
04/29/2020
White Paper on Critical and Massive Machine Type Communication Towards 6G
The society as a whole, and many vertical sectors in particular, is beco...
research
∙
03/22/2020
Simulating Hybrid Aerial- and Ground-based Vehicular Networks with ns-3 and LIMoSim
Integrating Unmanned Aerial Vehicles (UAVs) into future Intelligent Tran...
research
∙
03/22/2020
The Channel as a Traffic Sensor: Vehicle Detection and Classification based on Radio Fingerprinting
Ubiquitously deployed Internet of Things (IoT)- based automatic vehicle ...
research
∙
01/28/2020
LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations
Exploiting big data knowledge on small devices will pave the way for bui...
research
∙
01/26/2020
Towards Cooperative Data Rate Prediction for Future Mobile and Vehicular 6G Networks
Machine learning-based data rate prediction is one of the key drivers fo...
research
∙
01/15/2020
A Reinforcement Learning Approach for Efficient Opportunistic Vehicle-to-Cloud Data Transfer
Vehicular crowdsensing is anticipated to become a key catalyst for data-...
research
∙
11/25/2019
Data-driven Network Simulation for Performance Analysis of Anticipatory Vehicular Communication Systems
The provision of reliable connectivity is envisioned as a key enabler fo...
research
∙
10/23/2019
Unmanned Aerial Vehicles in Logistics: Efficiency Gains and Communication Performance of Hybrid Combinations of Ground and Aerial Vehicles
Unmanned Aerial Vehicles (UAVs) have drastically gained popularity in va...
research
∙
07/29/2019
Robust Cellular Communications for Unmanned Aerial Vehicles in Maritime Search and Rescue
Unmanned aerial vehicles (UAV) are a promising technology for fast, larg...
research
∙
07/23/2019
FALCON: An accurate real-time monitor for client-based mobile network data analytics
Network data analysis is the fundamental basis for the development of me...
research
∙
07/23/2019
Performance Analysis of C-V2X Mode 4 Communication Introducing an Open-Source C-V2X Simulator
Autonomous vehicles, on the ground and in the air, are the next big evol...
research
∙
06/21/2019
Lightweight Simulation of Hybrid Aerial- and Ground-based Vehicular Communication Networks
Cooperating small-scale Unmanned Aerial Vehicles (UAVs) will open up new...
research
∙
04/23/2019
Boosting Vehicle-to-cloud Communication by Machine Learning-enabled Context Prediction
The exploitation of vehicles as mobile sensors acts as a catalyst for no...
research
∙
04/23/2019
Towards Data-driven Simulation of End-to-end Network Performance Indicators
Novel vehicular communication methods are mostly analyzed simulatively o...
research
∙
04/23/2019
Empirical Analysis of Client-based Network Quality Prediction in Vehicular Multi-MNO Networks
Multi-Mobile Network Operator (MNO) networking is a promising method to ...
research
∙
03/26/2019
Towards Resilient 5G: Lessons Learned from Experimental Evaluations of LTE Uplink Jamming
Energy, water, health, transportation and emergency services act as back...
research
∙
01/10/2019
System-of-Systems Modeling, Analysis and Optimization of Hybrid Vehicular Traffic
While the development of fully autonomous vehicles is one of the major r...
research
∙
01/08/2019
Performance Evaluation and Optimization of B.A.T.M.A.N. V Routing for Aerial and Ground-based Mobile Ad-hoc Networks
The provision of reliable and efficient end-to-end communication within ...
research
∙
10/18/2018
Enabling Hard Service Guarantees in Software-Defined Smart Grid Infrastructures
Information and Communication Technology (ICT) infrastructures play a ke...
research
∙
07/03/2018
Exploiting Map Topology Knowledge for Context-predictive Multi-interface Car-to-cloud Communication
While the automotive industry is currently facing a contest among differ...
research
∙
07/02/2018
Leveraging the Channel as a Sensor: Real-time Vehicle Classification Using Multidimensional Radio-fingerprinting
Upcoming Intelligent Transportation Systems (ITSs) will transform roads ...
research
∙
06/25/2018
Performance Analysis of Unsupervised LTE Device-to-Device (D2D) Communication
Cellular network technology based device-to-device communication attract...
research
∙
06/18/2018
Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks using Passive Downlink Indicators
Energy-aware system design is an important optimization task for static ...
research
∙
05/17/2018
Payload-size and Deadline-aware Scheduling for Upcoming 5G Networks: Experimental Validation in High-load Scenarios
High data rates, low latencies, and a widespread availability are the ke...
research
∙
05/17/2018
Machine learning based context-predictive car-to-cloud communication using multi-layer connectivity maps for upcoming 5G networks
While cars were only considered as means of personal transportation for ...
research
∙
05/02/2018
The AutoMat CVIM - A Scalable Data Model for Automotive Big Data Marketplaces
In the past years, connectivity has been introduced in automotive produc...
research
∙
04/16/2018
Resource-efficient Transmission of Vehicular Sensor Data Using Context-aware Communication
Upcoming Intelligent Traffic Control Systems (ITSCs) will base their opt...
research
∙
02/26/2018
tinyLTE: Lightweight, Ad-Hoc Deployable Cellular Network for Vehicular Communication
The application of LTE technology has evolved from infrastructure-based ...
research
∙
02/21/2018
Novel Common Vehicle Information Model (CVIM) for Future Automotive Vehicle Big Data Marketplaces
Even though connectivity services have been introduced in many of the mo...
research
∙
02/21/2018
Empirical evaluation of predictive channel-aware transmission for resource efficient car-to-cloud communication
Nowadays vehicles are by default equipped with communication hardware. T...
research
∙
02/21/2018
Car-to-Cloud Communication Traffic Analysis Based on the Common Vehicle Information Model
Although connectivity services have been introduced already today in man...
research
∙
02/08/2018
System-in-the-loop Design Space Exploration for Efficient Communication in Large-scale IoT-based Warehouse Systems
Instead of treating inventory items as static resources, future intellig...
research
∙
01/10/2018
Radio-based Traffic Flow Detection and Vehicle Classification for Future Smart Cities
Intelligent Transportation Systems (ITSs) providing vehicle-related stat...
research
∙
01/10/2018
A Radio-fingerprinting-based Vehicle Classification System for Intelligent Traffic Control in Smart Cities
The measurement and provision of precise and upto-date traffic-related k...
research
∙
01/10/2018
Efficient Machine-type Communication using Multi-metric Context-awareness for Cars used as Mobile Sensors in Upcoming 5G Networks
Upcoming 5G-based communication networks will be confronted with huge in...
research
∙
11/18/2017