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Researcher

Caner Bektas, M.Sc.

1991

Born in Dortmund

October 2010 - March 2018

Bachelors and Masters degree in Electrical Engineering and Information Technology at TU Dortmund University

October 2011 - November 2014

Student Assistant at the Communication Networks Institute

November 2014 - February 2015

Internship at Vodafone GmbH

May 2015 - February 2018

Student Assistant at the Communication Networks Institute

Since May 2018

Research Assistant at the Communication Networks Institute

  • Data-driven 5G RAN Network Slicing
  • Machine Learning-aided Network Planning (Unsupervised & Reinforcement Learning)
  • Private 5G Campus Networks
Publications
10/12/2022

The Cost of Uncertainty: Impact of Overprovisioning on the Dimensioning of Machine Learning-based Network Slicing

C. Bektas, S. Böcker, C. Wietfeld

In 2022 IEEE Future Networks World Forum (FNWF), October 2022.

 

10/12/2022

Better Safe Than Sorry: Distributed Testbed for Performance Evaluation of Private Networks

C. Arendt, S. Böcker, C. Bektas, C. Wietfeld

In 2022 IEEE Future Networks World Forum (FNWF), October 2022.

 

10/12/2022

TinyDRaGon: Lightweight Radio Channel Estimation for 6G Pervasive Intelligence

M. Geis, B. Sliwa, C. Bektas, C. Wietfeld

In 2022 IEEE Future Networks World Forum (FNWF), October 2022.

 

07/25/2022

Enhancing Reliability by Combining Manufacturing Processes and Private 5G Networks

M. Müller, et al.

In IEEE International Conference on Industrial Informatics, INDIN'22. July 2022, Australia.

 

04/13/2022

DRaGon: Mining latent radio channel information from geographical data leveraging deep learning

B. Sliwa, M. Geis, C. Bektas, M. Lopéz, P. Mogensen, C. Wietfeld

In 2022 IEEE Wireless Communications and Networking Conference (WCNC), Austin, Texas

11/12/2021

On the Benefits of Demand-Based Planning and Configuration of Private 5G Networks

C. Bektas, C. Schüler, R. Falkenberg, P. Gorczak, S. Böcker, C. Wietfeld

In 2021 IEEE VNC, Virtual Event, November 2021.

10/28/2021

Rapid Network Planning of Temporary Private 5G Networks with Unsupervised Machine Learning

C. Bektas, S. Böcker, B. Sliwa, C. Wietfeld

In 2021 IEEE 94th Vehicular Technology Conference (VTC-Fall), Virtual Event, September 2021

06/23/2021

SAMUS: Slice-Aware Machine Learning-based Ultra-Reliable Scheduling

C. Bektas, D. Overbeck, C. Wietfeld

In 2021 IEEE International Conference on Communications (ICC), Virtual Event, June 2021

12/13/2019

Reliable Software-Defined RAN Network Slicing for Mission-Critical 5G Communication Networks

C. Bektas, S. Böcker, F. Kurtz, C. Wietfeld

In 2019 IEEE Globecom Workshops (GC Wkshps), Waikoloa, Hawaii, USA, December 2019.

09/04/2019

Robust Cellular Communications for Unmanned Aerial Vehicles in Maritime Search and Rescue

P. Gorczak, C. Bektas, F. Kurtz, T. Lübcke, C. Wietfeld

In IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), IEEE

04/11/2019

Software-Defined End-to-End Evaluation Platform for Quality of Service in Non-Standalone 5G Systems

K. Heimann, P. Gorczak, C. Bektas, F. Girke, C. Wietfeld

In 2019 Annual IEEE International Systems Conference (SysCon), Orlando, Florida, USA

12/13/2018

Towards 5G: An Empirical Evaluation of Software-Defined End-to-End Network Slicing

C. Bektas, S. Monhof, F. Kurtz, C. Wietfeld,

In 2018 IEEE Globecom Workshops (GC Wkshps), Abu Dhabi, United Arab Emirates, December 2018.

10/19/2018

Evaluating Software-Defined Networking-Driven Edge Clouds for 5G Critical Communications

F. Kurtz, I. Laukhin, C. Bektas, C. Wietfeld,

In International Conference on ICT Convergence (ICTC), IEEE, Jeju-si, Republic of Korea, October 2018.

07/11/2018

Control Plane Fault Tolerance for Resilient Software-Defined Networking based Critical Infrastructure Communications

F. Kurtz, D. Overbeck, C. Bektas, C. Wietfeld,

In IEEE 5G World Forum - Cloud native 5G Workshop, Santa Clara, USA, July 2018.

06/29/2018

Network Slicing for Critical Communications in Shared 5G Infrastructures - An Empirical Evaluation

F. Kurtz, C. Bektas, N. Dorsch, C. Wietfeld,

In 4th IEEE International Conference on Network Softwarization (NetSoft 2018), Canada, June 2018.

10/27/2017

Synchronized Measurement Concept for Failure Handling in Software-Defined Smart Grid Communications

F. Kurtz, N. Dorsch, C. Bektas, C. Wietfeld,

In 2017 IEEE International Conference on Smart Grid Communications, Dresden, Germany, October 2017.

Location & approach

The campus of TU Dort­mund University is located close to interstate junction Dort­mund West, where the Sauerlandlinie A 45 (Frankfurt-Dort­mund) crosses the Ruhrschnellweg B 1 / A 40. The best interstate exit to take from A 45 is “Dort­mund-Eichlinghofen” (closer to South Campus), and from B 1 / A 40 “Dort­mund-Dorstfeld” (closer to North Campus). Signs for the uni­ver­si­ty are located at both exits. Also, there is a new exit before you pass over the B 1-bridge leading into Dort­mund.

To get from North Campus to South Campus by car, there is the connection via Vogelpothsweg/Baroper Straße. We recommend you leave your car on one of the parking lots at North Campus and use the H-Bahn (suspended monorail system), which conveniently connects the two campuses.

TU Dort­mund University has its own train station (“Dort­mund Uni­ver­si­tät”). From there, suburban trains (S-Bahn) leave for Dort­mund main station (“Dort­mund Hauptbahnhof”) and Düsseldorf main station via the “Düsseldorf Airport Train Station” (take S-Bahn number 1, which leaves every 20 or 30 minutes). The uni­ver­si­ty is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.

You can also take the bus or subway train from Dort­mund city to the uni­ver­si­ty: From Dort­mund main station, you can take any train bound for the Station “Stadtgarten”, usually lines U41, U45, U 47 and U49. At “Stadtgarten” you switch trains and get on line U42 towards “Hombruch”. Look out for the Station “An der Palmweide”. From the bus stop just across the road, busses bound for TU Dort­mund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dort­mund main station to the stop “Dort­mund Kampstraße”. From there, take U43 or U44 to the stop “Dort­mund Wittener Straße”. Switch to bus line 447 and get off at “Dort­mund Uni­ver­si­tät S”.

The AirportExpress is a fast and convenient means of transport from Dortmund Airport (DTM) to Dortmund Central Station, taking you there in little more than 20 minutes. From Dortmund Central Station, you can continue to the university campus by interurban railway (S-Bahn). A larger range of international flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the university station.

The H-Bahn is one of the hallmarks of TU Dort­mund University. There are two stations on North Campus. One (“Dort­mund Uni­ver­si­tät S”) is directly located at the suburban train stop, which connects the uni­ver­si­ty directly with the city of Dort­mund and the rest of the Ruhr Area. Also from this station, there are connections to the “Technologiepark” and (via South Campus) Eichlinghofen. The other station is located at the dining hall at North Campus and offers a direct connection to South Campus every five minutes.

The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent “Technologiepark”.

Site Map of TU Dortmund University (Second Page in English).