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1034 results

1. CNI
2. News: 6/17/2020
Simulating hybrid aerial- and ground-based vehicular networks with ns-3 and LIMoSim

illustrate how the proposed framework can be integrated into ns-3-based network simulation setups. Download as PDF View on ACM …
1. CNI
2. News: 11/29/2017
Empirical Evaluation of Predictive Channel-Aware Transmission for Resource Efficient Car-To-Cloud Communication

was collected and subsequently uploaded to a cloud server via a Long Term Evolution (LTE) network. Download as PDF View on ARXIV …
1. CNI
2. News: 3/8/2014
Cloud-aided SDR solution for lane-specific vehicle positioning via Local Interference Compensation

Receiver solution on geo-referenced points, which fit the definition of the introduced urban canyons. Download as PDF View on IEEE Xplore …
1. CNI
2. News: 9/6/2017
PhyNetLab: An IoT-Based Warehouse Testbed

evaluating the performance of the ETSI compliant radio channel access procedure for an IoT warehouse. Download as PDF View on ARXIV …
1. CNI
2. News: 8/30/2018
Machine learning based context-predictive car-to-cloud communication using multi-layer connectivity maps for upcoming 5G networks

rate by up to 194% while simultaneously reducing the mean uplink power consumption by up to 54%. Download as PDF View on IEEE Xplore …
1. CNI
2. News: 6/8/2018
Improving the Robustness of Control-Grade Ultra-Wideband Localization

proposed method is more accurate than the state of the art in the strong interference scenario. Download as PDF View on ScienceDirect …
1. CNI
2. News: 4/28/2021
PARRoT: Predictive ad-hoc routing fueled by reinforcement learning and trajectory knowledge

protocols, PARRoT achieves a massively higher robustness and a significantly lower end-to-end latency. Download as PDF View on IEEE Xplore …
1. CNI
2. News: 5/18/2016
Local interference compensation (LOCATe) for GNSS-based Lane-Specific Positioning of Vehicles

only moderate additional CPU complexity/time compared to an ordinary GPS positioning estimation. Download as PDF View on IEEE Xplore …
1. CNI
2. News: 12/11/2020
The Best of Both Worlds: Hybrid Data-Driven and Model-Based Vehicular Network Simulation

better mimic the real world behavior, it also achieves a ~300 times higher computational efficiency. Download as PDF View on IEEE Xplore …
1. Anglistik und Amerikanistik / English and American Studies
2. Students
3. Courses
Courses WS 2025/26

this class for 601 should preferably take it as AT. © TU Dortmund The KVV for WiSe 25/26 can be downloaded here. Course Registration Dates Registration for all courses offered through the Anglistik/Ame …