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

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Showing 2017Show all

5 papers · 1 filter

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…