BSc and MSc Semester Projects
The SENS Lab works on wireless networking and sensing systems, and we welcome self-motivated students interested in our research to work with us on semester projects.
Currently, we are looking for students to participate in our ongoing research in the following areas, within which we can define semester projects.
- Autonomous Vehicle Perception using Millimeter-Wave Radars.
- Millimeter-Wave Networking in Next-Generation Wireless Networks (e.g., 5G, 802.11ay).
- Private 5G Networks, Radio Access Network (RAN) Virtualization.
If you are interested, please send your CV and transcript to Jayden. Feel free to contact us if you have any questions.
Current Semester Projects
Duration:
Two Semesters (Since 2023 Spring)
Student Name:
Raphael Cannatà, Haoxin Sun
Abstract:
The project is aimed at developing an easy-to-deploy private 5G network that can serve as a testbed for future research. The project takes advantage of the new Open RAN standards in order to be compatible with different hardware and software.
Duration:
One Semester
Student Name:
Franck Khayat
Completed During:
Fall, 2023
Duration:
One Semester
Student Name:
Cyril Golaz
Completed During:
Fall, 2023
Past Semester Projects
2023
Duration:
One Semester
Student Name:
Jeremy Weill
Abstract:
The EPFL Spacecraft Team (EST) is working on a twin CubeSat mission to be launched in 2026, carrying high-profile scientific payloads. To validate the first student-designed spaceflight hardware, the onboard computer for the final mission is launching to low Earth orbit in January 2023 as a hosted payload. The semester project focuses on designing the software-defined radio for the X-band transceiver, which will be the next subsystem to be tested in space.
Completed During:
Spring, 2023
2022
Duration:
One Semester
Student Name:
Sevda Öğüt
Abstract:
Molecular networks have the potential to enable bio-implants and biological nano-machines to communicate inside the human body. Molecular networks send and receive data between nodes by releasing molecules into the bloodstream. In this work, we explore how we can scale molecular networks from a single transmitter single receiver paradigm to multiple transmitters that can concurrently send data to a receiver. We identify unique challenges in enabling multiple access in molecular networks that prevent us from using standard multiple access protocols. These challenges include the lack of synchronization and feedback, the non-negativity of molecular signals, the extremely long tail of the molecular channel leading to high ISI (Inter-Symbol-Interference), and the limited types of molecules that can be used for communication. We present MoMA (Molecular Multiple Access), a protocol that enables a molecular network with multiple transmitters. We introduce packet detection, channel estimation, and encoding/decoding schemes that leverage the unique properties of molecular networks to address the above challenges. We evaluate MoMA on a synthetic experimental testbed and demonstrate that it can scale up to four transmitters while signicantly outperforming the state-of-the-art.
Completed During:
Fall, 2022