News
Competence Center 5G.NRW welcomes international experts on Software-Defined Radio (SDR) at TU Dortmund University
On the 13th and 14th of November, the Communication Networks Institute (CNI) and National Instruments jointly hosted a roundtable on "advanced…
Kickoff for the Digital Week Dortmund (Digitale Woche Dortmund, diwodo) at the German Football Museum #diwodo19.
The Communication Networks Institute supported the kick-off event of the third season of the Digital Week Dortmund as representative of the Competence…
Digital Summit of the Federal Government: 5G as an Essential Base for Digital Data Platforms
At this year's Digital Summit of the Federal Government (Digitalgipfel der Bundesregierung), which took place this year in Dortmund on October 28/29,…
Four publications addressing recent topics in automotive communication networks presented at IEEE VTC-Fall 2019
Key results of the vehicular research projects "SFB 876 (B4): Analysis and Communication for Dynamic Traffic Prognosis" and "Intelligente…
Workshop Series on "Resource constraints in data science - Recent research results and future directions within the SFB 876"
The SFB 876 has kicked off a series of workshops with dedicated themes about recent advancements in data science, artificial intelligence and adjacent…
Successful Opening Event of Competence Center CC5G.NRW
At the opening event of the Competence Center 5G.NRW, Prof. Dr. Andreas Pinkwart (minister for economics, innovation, digitalization and energy of the…
Dissertation on the "Scalability, Reliability and Energy Efficiency in Ultra-Wideband Indoor Localization" successfully defended
The CNI team is happy to annouce its newest completed dissertation and congratulates Janis Tiemann to his execllent research results, which have…
New Competence Center on 5G started
The new mobile network technology 5G is expected to serve as basis for new innovations in many new areas, such as robotics, autonomous driving and…
InVerSiV project successfully concluded in final demonstration
Sensors for environment recognition help to minimize dangers for road users in semi-automated and highly automated driving in complex environments,…