Andreas Ingo Grohmann

Dipl.-Ing.
Andreas Ingo Grohmann

PhD Researcher

+49 351 463-33474

andreas_ingo.grohmann@tu-dresden.de

Room: BAR I/23

Andreas Ingo Grohmann works in the field of Open Radio Access Network (ORAN) integration at the Deutsche Telekom Chair of Communication Networks at TU Dresden. He embarked on his doctoral studies in 2019, following the completion of his Dipl.-Ing. degree in electrical engineering from the same institution.
His journey at the ComNets chair began in 2015 as a student assistant, where he delved into the intricacies of routing in wireless mesh networks and orchestration within multi-access edge computing (MEC) environments.
Mr. Grohmann’s research now centers on harnessing the power of 5G non-public networks (NPNs) to orchestrate cyber-physical systems within the Industry 4.0 landscape. He envisions a future where private 5G networks unlock unprecedented levels of productivity and efficiency across businesses of all sizes. To achieve this vision in a cost-effective manner, he emphasizes the need for 5G solutions that seamlessly adapt to the unique demands of each enterprise. He identifies ORAN as a compelling solution due to its inherent flexibility, and his research currently focuses on tailoring ORAN systems to address specific use cases.
His research delves deep into the customization of ORAN systems for specific use cases, a skill further honed by his participation in international conferences and a research exchange hosted by Prof. Ray-Guang Cheng, at the ORAN Software Community (OSC) Lab Taipei at National Taiwan University of Science and Technology (NTUST).

Research Interests

  • 5G Campus Networks
  • Open Source OpenRAN
  • Network Architecture for Industry 4.0
  • In Network Computing

Review / TPC member service

  • IEEE ICC 2020
  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on AgriFood Electronics
  • European Wireless 2022

Supervision

Student Thesis

  • Study of network conditions of Thread networks of upcoming 5G IoT sensor networks (Adrian Bretschneider Perez)
  • Disaggregated Radio Access Network Latency Analysis (Fengmin Shen)

Diploma Thesis

  • Study and optimization of OpenThread wireless sensor networks with mobile nodes (Lukas Pingel)
  • AI aided robot remote control (Adrian Bretschneider Perez)
  • Cloud based robot grasp detection for industry 4.0 (Robert Mörseburg)

Master Thesis

  • Investigation of smart routing and queue management for on the fly processing (Mao Xinwei)

Publications

Table of Contents

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