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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...
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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...
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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...
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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 ...
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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...
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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...
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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...
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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-...
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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...
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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...
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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...
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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...
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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 ...
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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...
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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...
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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-...
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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...
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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...
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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...
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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...
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04/23/2019
Towards Data-driven Simulation of End-to-end Network Performance Indicators
Novel vehicular communication methods are mostly analyzed simulatively o...
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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 ...
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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...
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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 ...
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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...
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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 ...
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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 ...
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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...
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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 ...
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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...
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04/16/2018
Resource-efficient Transmission of Vehicular Sensor Data Using Context-aware Communication
Upcoming Intelligent Traffic Control Systems (ITSCs) will base their opt...
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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...
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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...
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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...
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01/10/2018
Radio-based Traffic Flow Detection and Vehicle Classification for Future Smart Cities
Intelligent Transportation Systems (ITSs) providing vehicle-related stat...
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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...
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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...
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10/09/2017