Course paper / final thesis

IoT towards 6G: Advanced Modulation Schemes

Starting date

1. April 2023

Duration of contract

6 months


bis Entgeltgruppe 05 TVöD

Type of employment

Full-time (part-time possible)

The Internet of things (IoT) is attracting an increasing attention from both industry and academia, and will be a core component of next generation 6G systems. In an IoT network, a potentially massive number of low-cost, low-complexity devices generate traffic to be reported to a common receiver monitoring the situation. Relevant examples include asset tracking, industrial and environmental monitoring as well as smart cities. In this context, the possibility to collect IoT messages via constellations of small satellites in low-Earth orbit is a key enabler to provide global connectivity, and has recently been introduced by 3GPP as part of the 5G standard. The reception of data at satellites that fly at high speed poses however also a number of technical challenges, such as signal distortions due to Doppler shift, which significantly limit the performance of the orthogonal frequency division (OFDM) approach implemented in both LTE and 5G. Due to this, the research community is looking into other modulation schemes that can provide more robustness for high mobility wireless channels. A promising candidate in this respect is orthogonal time-frequency-space scheme (OTFS), which modulates the information bits in the delay and the Doppler domains.

Taking the lead from this, the thesis will focus on the study and investigation, also by means of simulations, of the OTFS modulation and its comparison to OFDM, with special attention to their performance for reception at LEO satellites. The student will have the chance to learn about IoT systems, satellite-based communications, and become familiar with concepts and waveforms that will become a core part of next generation wireless standards.

Your qualifications:

  • Study of Electrical Engineering, Communication Engineering or Computer Science or similar
  • Experience in programming (e.g., Matlab or C/C++)
  • Knowledge of Layer 1 (PHY), especially fundamentals of modulation techniques, and Layer 2 (MAC)

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

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Technical contact

Andrea Munari
Institute of Communications and Navigation

Phone: +49 8153 28-2844

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Vacancy 75966

HR department Oberpfaffenhofen

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DLR site Oberpfaffenhofen

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DLR Institute of Communications and Navigation

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