Course paper / final thesis

Internet of Things Waveform Analysis and Comparison – LoRa-e

Starting date

1 April 2023

Duration of contract

6 months


up to German TVöD 5

Type of employment

Full-time (part-time possible)

In the latest years a novel paradigm in communications has arisen: a massive amount of devices need to communicate via a wireless medium carrying small data units in an efficient manner. Departing from classical medium access protocols, novel Internet of Things (IoT) solutions aim at providing cost-effective and energy-efficient schemes. Both proprietary solutions like SigFox and LoRaWAN as well as standards like NB-IoT have been already successfully deployed. At our department, alternative solutions based on advanced random access schemes employing both strong error-correcting codes and multi-user detection techniques have been designed, analyzed and tested via prototypes.

The thesis aim is to design a detailed PHY and MAC simulator able to provide the performance of one (or more) of SigFox, LoRaWAN with its latest embodiment, LoRa-e and NB-IoT schemes. Detailed characterization of the packet payload as well as of the channel model is required. At the receiver side, starting with a simple idealized scenario (ideal detection, channel estimation, emulation of the channel decoding procedure via e.g. Normal Approximation), we will move towards a more sophisticated receiver able to cope with detection, time, frequency and phase estimation as well as channel estimation. Finally, channel decoding will also be performed.

Your qualifications:

  • study of Electrical Engineering, Communication Engineering or Computer Science or similar
  • hands on experience in MATLAB programming
  • layer 1 (PHY) and Layer 2 (MAC only) basic knowledge is advantageous

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.

  • Apply online now
  • You can send this job advertisement via e-mail and complete your application on a personal computer or laptop.

    We need your digital application documents (PDF). The document upload function is not supported by all mobile devices. Please complete your application on a PC/laptop.

    Complete application on PC

Technical contact

Dr. Federico Clazzer
Institut of Communications und Navigation

Phone: +49 8153 28-1120

Send message

Vacancy 75938

HR department Oberpfaffenhofen

Send message

DLR site Oberpfaffenhofen

To location

DLR Institute of Communications and Navigation

To institute