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Best Student Paper Award at IEEE VTS Flagship Conference IEEE VTC-Spring 2021


10.05.2021 – We are very happy to announce that the CNI Researchers Benjamin Sliwa, Cedrik Schüler, Manuel Patchou, and Christian Wietfeld have received the prestigious "Best Student Paper Award" for the paper "PARRoT: Predictive Ad-hoc Routing Fueled by Reinforcement Learning and Trajectory Knowledge" at the IEEE Vehicular Technology Conference (VTC-Spring) 2021 which is the flagship conference of the Vehicle Technology Society (VTS) of the IEEE.


Publication on „A Low Cost Modular Radio Tomography System for Bicycle and Vehicle Detection and Classification“ to be presented on IEEE SYSCON 2021 conference


08.03.2021 – Another paper regarding CNI's research activities on a low-cost and modular radio-based detection and classification system for road users has been accepted for IEEE International Systems Conference (SYSCON) 2021. Compared to existing solutions, the proposed approach meets multiple crucial requirements, including cost-efficiency, robustness, accuracy, and privacy-preservation, while classifying heterogeneous road users (e.g., cyclists, passenger cars) accurately.


Publication on „SAMUS: Slice-Aware Machine Learning-based Ultra Reliable Scheduling“ to be presented on IEEE flagship conference ICC 2021


08.02.2021 – 5G network slicing is particularly important for critical infrastructure communications researched at the CNI, especially in the context of so-called "mixed-critical" services, as multiple service types such as Ultra-Reliable Low Latency Communication (uRLLC) and Enhanced Mobile Broadband (eMBB) are envisioned to be incorporated into a single physical communication network. To balance the needs of low latency slices and demanding high bitrate best effort slices, the data-driven scheduler SAMUS was developed and evaluated at the CNI, which effectively minimizes latency for critical infrastructure slices while providing the maximum data rate possible for other participants in the network based on Machine Learning.


1 Year Campus Network Planner - Unbroken high response and new 26 GHz planning aid


05.02.2021 – The Communication Networks Institute, along with the Competence Center 5G.NRW is responding to the very large response and the encouragement of now more than 9200 users, consisting of infrastructure manufacturers, network operators and primarily industrial and municipal users, and is now integrating, in addition to the new overview of previous allocation holders, a planning aid for the frequency allocation started at the beginning of the year by the Federal Network Agency for local, broadband frequency usage in the 24.25 - 27.5 GHz frequency range.


CNI Publication on efficient UAV-delivery system concept within the COVID-19 pandemic accepted at IEEE SYSCON 2021

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29.01.2021 – Solutions and concepts to alleviate the impact of the COVID-19 pandemic are also included the scope of on-going research at CNI. We are happy to announce that an article proposed by a team of our researchers (Manuel Patchou, Benjamin Sliwa, and Christian Wietfeld) was accepted at the IEEE International Systems Conference (SYSCON) 2021. A pre-print version is now available online on arXiv. The SYSCON 2021 which shall take place in Vancouver this year is currently planned as a virtual event. The contribution CNI submitted is a concept for a drone-based delivery system operating in an environment featuring constraints induced by the current COVID-19 pandemic, such as social distancing and prioritization of medical supplies.