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Project Overview

Project Code: CIT 09

Project name:

Resource Management for 6G in-X Subnetworks

TUM Department:

CIT - Electrical and Computer Engineering

TUM Chair / Institute:

Chair of Communication Networks

Research area:

Mobile Networks (6G)

Student background:

Computer EngineeringComputer ScienceComputer Science/ InformaticsMathematics

Further disciplines:

Participation also possible online only:

Planned project location:

TUM City Campus, Building 9, next to the Audimax.

Project Supervisor - Contact Details


Title:

M.Sc.

Given name:

Valentin

Family name:

Haider

E-mail:

valentin.haider@tum.de

Phone:

TUM - 28044

Additional Project Supervisor - Contact Details


Title:

Dr. Ph.D.

Given name:

Fidan

Family name:

Mehmeti

E-mail:

fidan.mehmeti@tum.de

Phone:

Additional Project Supervisor - Contact Details


Title:

Given name:

Family name:

E-mail:

Phone:

Project Description


Project description:

With the formal launch of 6G standardization at the 3GPP Workshop in March 2025, the intensive phase of research and standardization for the sixth generation of mobile networks has begun. Within current 6G research, so-called in-X subnetworks (SNs) are envisioned to constitute a key technology for providing ubiquitous network connectivity [1]-[5]. Possible deployment scenarios for these SNs include, e.g., industrial environments, vehicles, or drones to facilitate communication between users in geographically confined areas with high data rates, ultra-low latencies, and high reliability. The use cases that are envisioned for in-X SNs are, e.g., intra-vehicle sensor-actuator communication, robot control in industrial environments, or in-body networks for health monitoring [4].

To enable in-X SN services and meet their extreme performance requirements, effective frequency planning, i.e., radio and power resource allocation, is essential. This is particularly critical since most in-X SNs are mobile, making static configurations insufficient. Instead, resources must be allocated dynamically to adapt to changing interference scenarios. Developing such dynamic frequency planning methods is a central focus of the supervisors’ research [6]. To this end, the supervisors employ classical mathematical optimization, machine learning, the implementation of simulations, and the performance of testbed measurements to tackle these problems and evaluate their work.
The student will work closely with the supervisors to help advance in-X SNs as a key technology in future 6G systems. Depending on individual preferences, this may involve formulating and solving optimization problems, implementing or extending simulations, or contributing to testbed experiments. The emphasis of the project lies on the theoretical side. In addition, the student will have the opportunity to explore our diverse testbeds, including a 5G campus network, a mobile 5G trailer, an O-RAN 5G testbed, and several robotic platforms.

[1] M. A. Uusitalo, P. Rugeland, M. R. Boldi, E. C. Strinati, P. Demestichas, M. Ericson, G. P. Fettweis, M. C. Filippou, A. Gati, M.-H. Hamon, M. Hoffmann, M. Latva-Aho, A. Pärssinen, B. Richerzhagen, H. Schotten, T. Svensson, G. Wikström, H. Wymeersch, V. Ziegler, and Y. Zou, “6G vision, value, use cases and technologies from european 6G flagship project Hexa-X,” IEEE Access, vol. 9, 2021.
[2] H. Viswanathan and P. E. Mogensen, “Communications in the 6G era,” IEEE Access, vol. 8, 2020.
[3] M. Hoffmann, G. Kunzmann, T. Dudda, R. Irmer, A. Jukan, G. Macher, A. Ahmad, F. R. Beenen, A. Bröring, F. Fellhauer, G. P. Fettweis, F. H. P. Fitzek, N. Franchi, F. Gast, B. Haberland, S. Hoppe, S. Joodaki, N. P. Kuruvatti, C. Li, M. Lopez, F. Mehmeti, T. Meyerhoff, L. Miretti, G. T. Nguyen, M. Parvini, R. Pries, R. F. Schaefer, P. Schneider, D. A. Schupke, S. Strassner, H. Stubbe, and A. M. Voicu, “A secure and resilient 6G architecture vision of the german flagship project 6G-ANNA,” IEEE Access, vol. 11, 2023.
[4] V. Ziegler, H. Viswanathan, H. Flinck, M. Hoffmann, V. Räisänen, and K. Hätönen, “6G architecture to connect the worlds,” IEEE Access, vol. 8, 2020.
[5] G. Berardinelli, R. Adeogun, B. Coll-Perales, J. Gozalvez, D. Dardari, E. M. Vitucci, C. Hofmann, S. Giannoulis, M. Li, F. Burkhard, B. Priyanto, H. Klessig, O. Ognenoski, Y. Mestrah, T. Jacobsen, R. Abreu, U. Virk, and F. Foukalas, “Boosting short-range wireless communications in entities: the 6G-SHINE vision,” in Proc. IEEE FNWF, 2023.
[6] V. T. Haider, R. Pries, W. Kellerer, and F. Mehmeti, “Dynamic frequency planning for autonomous mobile 6G in-X subnetworks,” in Proc. IEEE/IFIP NOMS, 2025.

Working hours per week planned:

35

Prerequisites


Required study level minimum (at time of TUM PREP project start):

3 years of bachelor studies completed

Subject related:

Basic knowledge of communication systems, optimization problems, and probability theory.

Other:

Motivation to propose and pursue own ideas, ability to present technical concepts clearly, strong organizational skills

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