B.A.T.Mobile: Leveraging Mobility Control Knowledge for Efficient Routing in Mobile Robotic Networks. - Benjamin Sliwa; Daniel Behnke; Christoph Ide; Christian Wietfeld (GLOBECOM Workshops, 2016)

An OMNeT++ based Framework for Mobility-aware Routing in Mobile Robotic Networks. - Benjamin Sliwa; Christoph Ide; Christian Wietfeld (CoRR, 2016)

Empirical evaluation of predictive channel-aware transmission for resource efficient car-to-cloud communication. - Johannes Pillmann; Benjamin Sliwa; Christian Kastin; Christian Wietfeld (VNC, 2017)

Lightweight joint simulation of vehicular mobility and communication with LIMoSim. - Benjamin Sliwa; Johannes Pillmann; Fabian Eckermann; Lars Habel; Michael Schreckenberg; Christian Wietfeld (VNC, 2017)

Rushing Full Speed with LTE-Advanced Is Economical - A Power Consumption Analysis. - Robert Falkenberg; Benjamin Sliwa; Christian Wietfeld (VTC Spring, 2017)

Radio-Based Traffic Flow Detection and Vehicle Classification for Future Smart Cities. - Marcus Haferkamp; Manar Al-Askary; Dennis Dorn; Benjamin Sliwa; Lars Habel; Michael Schreckenberg; Christian Wietfeld (VTC Spring, 2017)

Car-to-Cloud Communication Traffic Analysis Based on the Common Vehicle Information Model. - Johannes Pillmann; Benjamin Sliwa; Jens Schmutzler; Christoph Ide; Christian Wietfeld (VTC Spring, 2017)

A Simple Scheme for Distributed Passive Load Balancing in Mobile Ad-Hoc Networks. - Benjamin Sliwa; Robert Falkenberg; Christian Wietfeld (VTC Spring, 2017)

Payload-Size and Deadline-Aware scheduling for time-critical Cyber Physical Systems. - Marcus Haferkamp; Benjamin Sliwa; Christoph Ide; Christian Wietfeld (Wireless Days, 2017)

LIMoSim: A Lightweight and Integrated Approach for Simulating Vehicular Mobility with OMNeT++. - Benjamin Sliwa; Johannes Pillmann; Fabian Eckermann; Christian Wietfeld (CoRR, 2017)

Leveraging the Channel as a Sensor: Real-time Vehicle Classification Using Multidimensional Radio-fingerprinting. - Benjamin Sliwa; Nico Piatkowski; Marcus Haferkamp; Dennis Dorn; Christian Wietfeld (ITSC, 2018)

The AutoMat CVIM - A Scalable Data Model for Automotive Big Data Marketplaces. - Johannes Pillmann; Benjamin Sliwa; Christian Wietfeld (MDM, 2018)

Resource-Efficient Transmission of Vehicular Sensor Data Using Context-Aware Communication. - Benjamin Sliwa; Thomas Liebig; Robert Falkenberg; Johannes Pillmann; Christian Wietfeld (MDM, 2018)

System-in-the-loop design space exploration for efficient communication in large-scale IoT-based warehouse systems. - Robert Falkenberg; Jens Drenhaus; Benjamin Sliwa; Christian Wietfeld (SysCon, 2018)

A radio-fingerprinting-based vehicle classification system for intelligent traffic control in smart cities. - Benjamin Sliwa; Marcus Haferkamp; Manar Al-Askary; Dennis Dorn; Christian Wietfeld (SysCon, 2018)

Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks Using Passive Downlink Indicators. - Robert Falkenberg; Benjamin Sliwa; Nico Piatkowski; Christian Wietfeld (VTC Fall, 2018)

Payload-Size and Deadline-Aware Scheduling for Upcoming 5G Networks: Experimental Validation in High-Load Scenarios. - Stefan Monhof; Marcus Haferkamp; Benjamin Sliwa; Christian Wietfeld (VTC Fall, 2018)

Efficient and Reliable Car-to-Cloud Data Transfer Empowered by BBR-Enabled Network Coding. - Johannes Pillmann; Daniel Behnke; Benjamin Sliwa; Matthias Priebe; Christian Wietfeld (VTC Fall, 2018)

Machine Learning Based Context-Predictive Car-to-Cloud Communication Using Multi-Layer Connectivity Maps for Upcoming 5G Networks. - Benjamin Sliwa; Robert Falkenberg; Thomas Liebig; Johannes Pillmann; Christian Wietfeld (VTC Fall, 2018)

Efficient Machine-Type Communication Using Multi-Metric Context-Awareness for Cars Used as Mobile Sensors in Upcoming 5G Networks. - Benjamin Sliwa; Thomas Liebig; Robert Falkenberg; Johannes Pillmann; Christian Wietfeld (VTC Spring, 2018)

Exploiting Map Topology Knowledge for Context-Predictive Multi-Interface Car-to-Cloud Communication. - Benjamin Sliwa; Johannes Pillmann; Maximilian Klaß; Christian Wietfeld (VTC Fall, 2018)

Performance Comparison of Dynamic Vehicle Routing Methods for Minimizing the Global Dwell Time in Upcoming Smart Cities. - Tim Vranken; Benjamin Sliwa; Christian Wietfeld; Michael Schreckenberg (VTC Fall, 2018)

System-of-Systems Modeling, Analysis and Optimization of Hybrid Vehicular Traffic. - Benjamin Sliwa; Thomas Liebig; Tim Vranken; Michael Schreckenberg; Christian Wietfeld (SysCon, 2019)

Unmanned Aerial Vehicles in Logistics: Efficiency Gains and Communication Performance of Hybrid Combinations of Ground and Aerial Vehicles. - Manuel Patchou; Benjamin Sliwa; Christian Wietfeld (VNC, 2019)

Performance Evaluation and Optimization of B.A.T.M.A.N. V Routing for Aerial and Ground-Based Mobile Ad-Hoc Networks. - Benjamin Sliwa; Stefan Falten; Christian Wietfeld (VTC Spring, 2019)

Lightweight Simulation of Hybrid Aerial- and Ground-Based Vehicular Communication Networks. - Benjamin Sliwa; Manuel Patchou; Christian Wietfeld (VTC Fall, 2019)

Empirical Analysis of Client-Based Network Quality Prediction in Vehicular Multi-MNO Networks. - Benjamin Sliwa; Christian Wietfeld (VTC Fall, 2019)

Towards Data-Driven Simulation of End-to-End Network Performance Indicators. - Benjamin Sliwa; Christian Wietfeld (VTC Fall, 2019)

Data-Driven Network Simulation for Performance Analysis of Anticipatory Vehicular Communication Systems. - Benjamin Sliwa; Christian Wietfeld (IEEE Access, 2019)

Towards Cooperative Data Rate Prediction for Future Mobile and Vehicular 6G Networks. - Benjamin Sliwa; Robert Falkenberg; Christian Wietfeld (6G SUMMIT, 2020)

Offloading Safety- and Mission-Critical Tasks via Unreliable Connections. - Lea Schönberger; Georg von der Brüggen; Kuan-Hsun Chen; Benjamin Sliwa; Hazem Youssef; Aswin Karthik Ramachandran Venkatapathy; Christian Wietfeld; Michael ten Hompel; Jian-Jia Chen (ECRTS, 2020)

The Best of Both Worlds: Hybrid Data-Driven and Model-Based Vehicular Network Simulation. - Benjamin Sliwa; Manuel Patchou; Christian Wietfeld (GLOBECOM, 2020)

Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge. - Jakob Thrane; Benjamin Sliwa; Christian Wietfeld; Henrik Lehrmann Christiansen (GLOBECOM, 2020)

LIMITS: Lightweight Machine Learning for IoT Systems with Resource Limitations. - Benjamin Sliwa; Nico Piatkowski; Christian Wietfeld (ICC, 2020)

Acting selfish for the good of all: contextual bandits for resource-efficient transmission of vehicular sensor data. - Benjamin Sliwa; Rick Adam; Christian Wietfeld (MobiHoc, 2020)

Reflecting Surfaces for Beyond Line-Of-Sight Coverage in Millimeter Wave Vehicular Networks. - Karsten Heimann; Adrian Marsch; Benjamin Sliwa; Christian Wietfeld (VNC, 2020)

A Reinforcement Learning Approach for Efficient Opportunistic Vehicle-to-Cloud Data Transfer. - Benjamin Sliwa; Christian Wietfeld (WCNC, 2020)

Simulating Hybrid Aerial- and Ground-based Vehicular Networks with ns-3 and LIMoSim. - Benjamin Sliwa; Manuel Patchou; Karsten Heimann; Christian Wietfeld (WNS3, 2020)

6G White Paper on Machine Learning in Wireless Communication Networks. - Samad Ali; Walid Saad; Nandana Rajatheva; Kapseok Chang; Daniel Steinbach; Benjamin Sliwa; Christian Wietfeld; Kai Mei; Hamid Shiri; Hans-Jürgen Zepernick; Thi My Chinh Chu; Ijaz Ahmad 001; et al. (CoRR, 2020)

The Channel as a Traffic Sensor: Vehicle Detection and Classification Based on Radio Fingerprinting. - Benjamin Sliwa; Nico Piatkowski; Christian Wietfeld (IEEE Internet Things J., 2020)

Boosting Vehicle-to-Cloud Communication by Machine Learning-Enabled Context Prediction. - Benjamin Sliwa; Robert Falkenberg; Thomas Liebig; Nico Piatkowski; Christian Wietfeld (IEEE Trans. Intell. Transp. Syst., 2020)

Machine Learning-Enabled Data Rate Prediction for 5G NSA Vehicle-to-Cloud Communications. - Benjamin Sliwa; Hendrik Schippers; Christian Wietfeld (5GWF, 2021)

Modeling and Simulation of Reconfigurable Intelligent Surfaces for Hybrid Aerial and Ground-based Vehicular Communications. - Karsten Heimann; Benjamin Sliwa; Manuel Patchou; Christian Wietfeld (MSWiM, 2021)

A Low Cost Modular Radio Tomography System for Bicycle and Vehicle Detection and Classification. - Marcus Haferkamp; Benjamin Sliwa; Christian Wietfeld (SysCon, 2021)

Flying Robots for Safe and Efficient Parcel Delivery Within the COVID-19 Pandemic. - Manuel Patchou; Benjamin Sliwa; Christian Wietfeld (SysCon, 2021)

Rapid Network Planning of Temporary Private 5G Networks with Unsupervised Machine Learning. - Caner Bektas; Stefan Böcker; Benjamin Sliwa; Christian Wietfeld (VTC Fall, 2021)

Towards Machine Learning-Enabled Context Adaption for Reliable Aerial Mesh Routing. - Cedrik Schüler; Benjamin Sliwa; Christian Wietfeld (VTC Fall, 2021)

PARRoT: Predictive Ad-hoc Routing Fueled by Reinforcement Learning and Trajectory Knowledge. - Benjamin Sliwa; Cedrik Schüler; Manuel Patchou; Christian Wietfeld (VTC Spring, 2021)

Robust machine learning-enabled routing for highly mobile vehicular networks with PARRoT in ns-3. - Cedrik Schüler; Manuel Patchou; Benjamin Sliwa; Christian Wietfeld (WNS3, 2021)

Client-Based Intelligence for Resource Efficient Vehicular Big Data Transfer in Future 6G Network. - Benjamin Sliwa; Rick Adam; Christian Wietfeld (CoRR, 2021)

Client-Based Intelligence for Resource Efficient Vehicular Big Data Transfer in Future 6G Networks. - Benjamin Sliwa; Rick Adam; Christian Wietfeld (IEEE Trans. Veh. Technol., 2021)

Resource-Efficient Vehicle-to-Cloud Communications Leveraging Machine Learning. - Benjamin Sliwa (Shaker, 2021)

Mobile-Data Network Analytics Highly Reliable Networks. - Robert Falkenberg; Karsten Heimann; Benjamin Sliwa (Mach. Learn. under Resour. Constraints Vol. 3 (3), 2022)

Privacy-Preserving Detection of Persons and Classification of Vehicle Flows. - Marcus Haferkamp; Benjamin Sliwa; Christian Wietfeld (Mach. Learn. under Resour. Constraints Vol. 3 (3), 2022)

Vehicle to Vehicle Communications: Machine Learning-Enabled Predictive Routing. - Cedrik Krieger; Benjamin Sliwa; Christian Wietfeld (Mach. Learn. under Resour. Constraints Vol. 3 (3), 2022)

Resource-Efficient Vehicle-to-Cloud Communications. - Benjamin Sliwa (Mach. Learn. under Resour. Constraints Vol. 3 (3), 2022)

TinyDRaGon: Lightweight Radio Channel Estimation for 6G Pervasive Intelligence. - Melina Geis; Benjamin Sliwa; Caner Bektas; Christian Wietfeld (FNWF, 2022)

System Modeling and Performance Evaluation of Predictive QoS for Future Tele-Operated Driving. - Hendrik Schippers; Cedrik Schüler; Benjamin Sliwa; Christian Wietfeld (SysCon, 2022)

DRaGon: Mining Latent Radio Channel Information from Geographical Data Leveraging Deep Learning. - Benjamin Sliwa; Melina Geis; Caner Bektas; Melisa López; Preben Mogensen 001; Christian Wietfeld (WCNC, 2022)