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Dissertation on the "Scalability, Reliability and Energy Efficiency in Ultra-Wideband Indoor Localization" successfully defended

Tiemann_Diss_2019_Web

17.07.2019 – The CNI team is happy to annouce its newest completed dissertation and congratulates Janis Tiemann to his execllent research results, which have created already a considerable impact in the research community.
Recent developments in wireless localization highlight the potential that comes with this new dimension in wireless communication. While outdoor environments are mostly covered by Global Navigation Satellite Systems (GNSS), precise indoor localization is still a challenge. Both, research and industry have great interest in the added value that precise indoor location information can bring to future Information and Communication Technology (ICT) systems. This dissertation analyzes the requirements for those applications and provides deep insight into the solution space of Ultra-Wideband (UWB) communication technology, by analyzing the accuracy, energy efficiency and, as a specific focus of this dissertation, the multi-user scalability of existing systems. The comparison with the state of the art shows the need for a new solution, providing both, scalable real-time capabilities and energy efficiency. Given these requirements, the dissertation of Janis Tiemann proposes the Augmented Terrestrial Localization for Autonomous Systems (ATLAS) solution approach specifically targeted to improve the Key Performance Indicators (KPIs) for control-grade Real-Time Locating Systems (RTLS). The proposed channel access scheme providing scalable, real-time capable and reliable localization for heterogeneous applications is specified, implemented and validated. Furthermore, approaches for ultra-wideband specific signal quality assessment and sensor fusion to improve location accuracy are discussed, implemented and evaluated.

 

New Competence Centre on 5G started

TU_Dortmund_5G _Web

25.06.2019 – 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 health. The new research project „Competence Center 5G.NRW“ (CC5G.NRW) aims to establish North-Rhine Westfalia (NRW) as lead market for this new industry. the state NRW supports the projects with 3,3 Mio. Euro funding for 3 years, 1,2 MIo. Euro are dedicated to activities at TU Dortmund.

The main contribution of CNI is an innovative and very flexible 5G experimental platform, which can be used merely ad-hoc at locations throughout NRW. Thereby new 5G applications (e.g. based on 5G mmWave) can be explored in real-life deployment environments. The funding certifcates were presented to the project consortium on June 17, 2019, in Düsseldorf by Prof. Andreas Pinkwart, NRW's minister for economics, innovation, digitalization and energy (see photo, centre position), Prof. Christian Wietfeld underlined that the specific focus of the project is placed on the exploration 5G network slicing to provide highly reliable and highly scalable communication links.

 

German 5G auction finalized - A closer look into the course of the auction

5Gauction

29.03.2019 – For all those who are interested in the 5G auction, CNI presents some statistical data derived from the auction results published by the BNetzA.

The statistics show first of all the progress of the bids and the sum of the frequency blocks associated to each bidding party. In addition to that the cost per frequency spectrum (in Euro/Hz) is calculated as well as the split of the frequency spectrum and its associated cost.

Based on the data, one can easily identify different phases of the auction (see below). After 3 months duration and almost 500 rounds the auction finally ended with a total of 6,550 Mio. Euro. The final outcome shows that the bidders associated with average bids of around 20 Euro/Hz more value to the 2 GHz-band compared to the 3,6 GHz-Band (with around 10 Euro/Hz average bid). This is due to the more favourable propagation characteristics of the lower frequency: the same coverage can be achieved with less base stations. 

The analysis has been originally prepared for the lectures "Mobile Radio Networks" and "Business Economics of Information & Communication Technologies". The discussion of the German 5G auction serves as a vivid and timely case study to demonstrate the close and complex interdependencies of technology and economics.

 

5G-Conference of VDE ITG committee with over 200 participants

ZdN-Netsys-2019

21.03.2019 – The timing could not have been better: just one hour before the national auction of 5G frequency bands was started on March 19, 2019, in Mainz, the participants of the 5G-technology-related conference „Future of Networking / Zukunft der Netze 2019 “ were welcomed by the chairs of the VDE-ITG commitee on communication networks and systems, Joachim Sachs, Ericsson, and Prof. Christian Wietfeld, TU Dortmund. The 16th conference of the series was jointly organized with the NetSys conference at TU Munich. The well attended conference featured invited talks primarily from industry representatives: from public and potential private 5G network operators (Dt. Telekom, Vodafone and Bosch), 5G international academia and manufacturers (IMDEA Madrid, Ericsson, Nokia) as well as further 5G stakeholders (such as automation manufacturer Siemens) and representatives from 5G related projects. Many participants also used the opportunity to attend sessions and workshops of the NetSys conference discussing primarily recent results from academic research. Within the VDE-ITG committee KT2, industry and academia representatives jointly organize workshops on „hot topics“ and regular conferences related to communication networks, such as the „Future of Networking“ conference series. Prof. Christian Wietfeld, head of the CNI at TU Dortmund, has been a co-chair of the KT 2 committee for over 10 years.

 

First Prize, IEEE ComSoc Student Competition Winners, 2018, Supervisor: Fang-Jing Wu

IEEE_Award

03.02.2019 – The outcome of our students’ project group has been awarded the First Prize by IEEE ComSoc Member and Global Activities Council for the IEEE ComSoc Student Competition 2018 in Abu Dhabi, United Arab Emirates. The project group entitled “Passenger Flows: Crowd Mobility Analytics with Edge Computing in Public Transport” is supervised by Junior Professor Dr. Fang-Jing Wu at Department of Electrical Engineering and Information Technology, Communication Networks Institute, TU Dortmund. The student team formed by Lucas Döring, Stephanie Althoff, Kai Bitterschulte, Keng Yip Chai, Damian Grabarczyk, Yunfeng Huang, and Lidong Mao, exploits Internet-of-Things techniques combining with machine learning algorithms to solve one of the important issues in public transport in smart cities. The goal of the developed system is to monitor passenger flows in an automated public transport system. To achieve this goal, lightweight embedded devices are integrated with multiple types of sensors for sensing wireless network activities and environmental conditions, and the onboard passenger estimation algorithms are designed for analyzing real-time data and further visualization. Therefore, the technical issues in wireless opportunistic communications, multi-modal sensing and data analytics, and visualization are addressed by the team. To conduct real-world experiments, the designed prototype was validated in the H-Bahn Dortmund that is an automated hanging train in the TU Dortmund’s campus.

The developed system was evaluated by an international committee with 45 experts nominated by the Competition Co-Chairs and by IEEE ComSoc Technical Committee, covering all areas. Two-round evaluation processes were performed by the committee from different aspects of social impact, technical content, originality, practical applicability and results, and quality of presentation. The developed system is characterized by giving insight into the uncertain wireless traffic and environmental conditions via an integration of sensing techniques, statistical learning algorithms, prototyping, and practical experiments in the real world, which makes the work particularly compelling and provide a physical gateway to a connected cyber world. Congratulations to the team at Communication Networks Institute, TU Dortmund.

 

CNI at High-profile Event on NRW's Digitalization Strategy

5GmmWave

02.11.2018 – CNI has been invited to present its latest 5G research results at the Digitalkonferenz.NRW. Following the invitation of Prime Minister of North Rhine-Westphalia Armin Laschet and Minister of Economics and Digital Affairs Prof. Dr. Andreas Pinkwart, over 500 guests from politics, business, science, culture and society came together to discuss the digital strategy for North Rhine-Westphalia with the state government on October 26, 2018.

At our booth we presented a 5G mmWave antenna tracking system, implementing a mmWave link at 28 GHz between a fixed base station equipped with a highly directional and electrically steerable pencil beam antenna and an Unmanned Aerial Vehicles (UAV). Beamforming and pencil beam antennas are expected to become a major component of 5G mmWave New Radio networks. While spatial separation and high gains are anticipated benefits, the suitability of those new antenna types in highly dynamic scenarios, such as the use on UAVs, requires appropriate real–time steering capabilities and needs to be proven in practice. In our testbed, a rail system is customized to generate precisely reproducible mobility trajectories of the UAV. In case the antennas are aligned within a given error margin, a stable air–to–ground highspeed connection (up to 3 Gbps) can be observed during the flight experiments.

 

TU Dortmund's CNI contributes to the establishment of the German Centre for Rescue Robotics in Dortmund

DRZ-CNI

28.10.2018 – On October 1, 2018, a new project has started - funded by the German Ministry for Education and Research (BMBF) - which aims to establish a national competence center for rescue robotics. For the first time in Germany, first responders, researchers and industry will work closely together to realize autonomous rescue robots, which will become part of national as well as international robotic task forces for emergency rescue operations. Additionally, new test procedures will be developed, which will form the basis for standardization and certification of different robot systems acting outdoor on the ground, in the air, in water, as well as indoor. Based on its long-term track record in this research area, the Communication Networks Institute (CNI) will lead the work related to robust wireless communications of robotic systems, which allow for reliable operation even in challenging conditions of rescue operations

 

Excellent Paper Award at International Conference for 5G Edge Clouds

ICTC2018_Kurtz

18.10.2018 – We are delighted to announce that the contribution “Evaluating Software-Defined Networking-Driven Edge Clouds for 5G Critical Communications”, by Fabian Kurtz, Igor Laukhin, Caner Bektas and Christian Wietfeld, was awarded as Excellent Paper at the 9th International Conference on ICT Convergence (ICTC) 2018. The flagship conference of the Korean Institute of Communications and Information Sciences, co-sponsored by the IEEE, took place in October in Jeju, South Korea. Within the context of the BMBF funded Franco-German project BERCOM (Blueprint for Pan-European Resilient Critical Infrastructures based on LTE Communications), the research discussed in the paper demonstrated the advantages of Edge Clouds in the scope of 5G critical infrastructure communications.

 

Dissertation on Software-Defined Networking for Energy Systems successfully completed

Dorsch Promotion 2018 klein

08.10.2018 – The CNI team is happy to announce that Nils Dorsch has successfully defended his dissertation on October 2, 2018. The dissertation titled "Software-Defined Networking (SDN) for Real-Time Capable, Reliable and Cost-Efficient Smart Grid Communication Infrastructures" has proposed and investigated innovative concepts for communication networks suitable for the so-called Smart Grid. The work has been carried out within the interdisciplinary DFG-funded research group 1511 on "Control and protection systems for the future energy system". Dr. Dorsch has proposed a dedicated SDN interface which enables energy system operators to control the underlying communication system through a so-called north-bound interface. These extension of the Floodlight SDN controller originally developed at Stanford University have been also made available as open source. As a unique solution approach, Nils Dorsch has integrated the Network Calculus method into the real-time SDN controller to ensure that the maximum delay bounds required by the energy system are met. The work of Nils Dorsch has attracted considerable attention: a first paper describing the overall system concept has been cited over 50 times since its publication in 2014 at the IEEE SmartGridComm conference. An analysis of the economic impact of SDN-based networks has been recently published as journal article in NETNOMICS (Springer). Another journal article on "Enabling Hard Service Guarantees in Software-Defined Smart Grid Infrastructures" is accepted to appear in Computer Networks (Elsevier).

 

IEEE Student Fellowship for Outstanding Contributions to Machine Learning in Communications based on research in DFG SFB 876

Sliwa Scholarship 2018 Web

11.09.2018 – We are very happy to announce that Benjamin Sliwa has received the 2018 Transportation Electronics Fellowship Award "For Outstanding Student Research Contributions to Machine Learning in Vehicular Communications and Intelligent Transportation Systems" of the Vehicular Technology Society (VTS) within the IEEE, which grants two student fellowships per year worldwide. The bestowal took place at the IEEE Vehicular Technology Conference (VTC) Fall 2018, in August in Chicago, USA, which is the flagship conference of the VTS. Within his research in project B4 "Analysis and Communication for Dynamic Traffic Prognosis" of the Collaborative Research Centre (SFB 876), Benjamin Sliwa has presented pioneering work in using machine learning for resource-efficient data transmissions within cellular vehicular networks.

 

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