activity
20172020
most citedBoosting Vehicle-to-cloud Communication by Machine Learning-enabled Context Prediction

52 citations · 257 across the 13 of their papers we have counts for

collaborators

13 papers

cs.NI2020

Towards Cooperative Data Rate Prediction for Future Mobile and Vehicular 6G Networks

Benjamin Sliwa, Robert Falkenberg, Christian Wietfeld

Machine learning-based data rate prediction is one of the key drivers for anticipatory mobile networking with applications such as dynamic Radio Access Technology (RAT) selection,…

cs.NI2019★ 37 cited

FALCON: An accurate real-time monitor for client-based mobile network data analytics

Robert Falkenberg, Christian Wietfeld

Network data analysis is the fundamental basis for the development of methods to increase service quality in mobile networks. This requires accurate data of the current load in the…

cs.NI2019★ 52 cited

Boosting Vehicle-to-cloud Communication by Machine Learning-enabled Context Prediction

Benjamin Sliwa, Robert Falkenberg, Thomas Liebig +2

The exploitation of vehicles as mobile sensors acts as a catalyst for novel crowdsensing-based applications such as intelligent traffic control and distributed weather forecast. Ho…

cs.NI2018★ 22 cited

Machine learning based context-predictive car-to-cloud communication using multi-layer connectivity maps for upcoming 5G networks

Benjamin Sliwa, Thomas Liebig, Robert Falkenberg +2

While cars were only considered as means of personal transportation for a long time, they are currently transcending to mobile sensor nodes that gather highly up-to-date informatio…

cs.NI2018★ 41 cited

Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks using Passive Downlink Indicators

Robert Falkenberg, Benjamin Sliwa, Nico Piatkowski +1

Energy-aware system design is an important optimization task for static and mobile Internet of Things (IoT)-based sensor nodes, especially for highly resource-constrained vehicles…

cs.NI2018

Resource-efficient Transmission of Vehicular Sensor Data Using Context-aware Communication

Benjamin Sliwa, Thomas Liebig, Robert Falkenberg +2

Upcoming Intelligent Traffic Control Systems (ITSCs) will base their optimization processes on crowdsensing data obtained for cars that are used as mobile sensor nodes. In conclusi…

cs.NI2018★ 1 cited

System-in-the-loop Design Space Exploration for Efficient Communication in Large-scale IoT-based Warehouse Systems

Robert Falkenberg, Jens Drenhaus, Benjamin Sliwa +1

Instead of treating inventory items as static resources, future intelligent warehouses will transcend containers to Cyber Physical Systems (CPS) that actively and autonomously part…

cs.NI2018★ 28 cited

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 +2

Upcoming 5G-based communication networks will be confronted with huge increases in the amount of transmitted sensor data related to massive deployments of static and mobile Interne…

cs.NI2017★ 19 cited

Discover Your Competition in LTE: Client-Based Passive Data Rate Prediction by Machine Learning

Robert Falkenberg, Karsten Heimann, Christian Wietfeld

To receive the highest possible data rate or/and the most reliable connection, the User Equipment (UE) may want to choose between different networks. However, current LTE and LTE-A…

cs.NI2017★ 22 cited

PhyNetLab: An IoT-Based Warehouse Testbed

Robert Falkenberg, Mojtaba Masoudinejad, Markus Buschhoff +5

Future warehouses will be made of modular embedded entities with communication ability and energy aware operation attached to the traditional materials handling and warehousing obj…

cs.NI2017★ 13 cited

Rushing Full Speed with LTE-Advanced is Economical -- A Power Consumption Analysis

Robert Falkenberg, Benjamin Sliwa, Christian Wietfeld

Boosting data rates in LTE mobile networks is one of the key features of LTE-Advanced. This improved user experience is achieved by Carrier Aggregation (CA), in which the available…

cs.NI2017★ 6 cited

A Simple Scheme for Distributed Passive Load Balancing in Mobile Ad-hoc Networks

Benjamin Sliwa, Robert Falkenberg, Christian Wietfeld

Efficient routing is one of the key challenges for next generation vehicular networks in order to provide fast and reliable communication in a smart city context. Various routing p…

cs.NI2017★ 16 cited

Client-Based Control Channel Analysis for Connectivity Estimation in LTE Networks

Robert Falkenberg, Christoph Ide, Christian Wietfeld

Advanced Cyber-Physical Systems aim for the balancing of restricted local resources of deeply embedded systems with cloud-based resources depending on the availability of network c…