Open Thesis
Ongoing Thesis
Bachelorarbeiten
Evaluating the Energy Consumption of Indoor Networks
Beschreibung
Join us in exploring the future of energy-efficient in-building networks! As demand for high-performance wireless connectivity grows, optimizing Access Point (AP) placement is critical to reducing energy consumption and operational costs.
In this work, you will:
- Measure power consumption of WiFi and LiFi networks under different AP placement strategies.
- Use planning tools to simulate and evaluate network layouts.
- Compare energy efficiency and cost per bit for various deployment scenarios.
- Develop recommendations for optimizing AP placement to improve sustainability and reduce costs.
Voraussetzungen
- Background in wireless networking and communication systems
- Experience with Python
- Strong problem-solving skills
- Availability to work in-presence on the testbed
Betreuer:
Comparing Multipath Transport Protocols in Linux kernel
Beschreibung
Are you ready to dive into cutting-edge technology that merges LiFi and WiFi networks? Imagine your work enabling devices to seamlessly connect across multiple interfaces, pushing the boundaries of what is possible in wireless communication. With multipath solutions like MPTCP and MPQUIC, the potential is immense—but the challenge is real.
We are looking for a motivated student to compare and evaluate various multipath transport protocols on a LiFi-WiFi testbed and assess their suitability for heterogeneous wireless networks by analyzing the advantages and limitations of each protocol.
Related Reading:
- T. Schmidt, J. Deutschmann, K. -S. Hielscher and R. German, "POSTER: Revisiting Multipath QUIC Experiments and Comparing them with more recent Multipath TCP Implementations," 2021 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN), Boston, MA, USA, 2021, pp. 1-2, doi: 10.1109/LANMAN52105.2021.9478815.
If you are interested in this work, please send me an email with a short introduction of yourself along with your CV and grade transcript.
Voraussetzungen
- Experience with Linux networking
- Strong foundation in wireless networking concepts
- Availability to work in-presence
Betreuer:
Developing a 5G Multipath Testbed
Beschreibung
Join us in tackling one of the most pressing challenges in mobile networking—managing the growing demand for data and the need for higher performance in modern applications. As single-network connections struggle to keep up, the 3GPP's Access Traffic Steering, Switching, and Splitting (ATSSS) framework offers a solution, enabling devices to dynamically switch between and simultaneously use multiple network types like 5G, LTE, and Wi-Fi.
In this project, you will:
- Develop a cutting-edge 5G testbed that adheres to 3GPP standards.
- Integrate Multipath TCP to enable seamless communication across multiple network interfaces.
- Contribute to the optimization of mobile traffic management, enhancing both performance and reliability in next-generation networks.
This work is a unique opportunity to get hands-on experience with 5G technology and be at the forefront of mobile networking innovation.
Related Reading:
- M. Quadrini, D. Verde, M. Luglio, C. Roseti and F. Zampognaro, "Implementation and Testing of MP-TCP ATSSS in a 5G Multi-Access Configuration," 2023 International Symposium on Networks, Computers and Communications (ISNCC), Doha, Qatar, 2023, pp. 1-6, doi: 10.1109/ISNCC58260.2023.10323859.
If you are interested in this work, please send me an email with a short introduction of yourself along with your CV and grade transcript.
Voraussetzungen
- Experience with programming in C/C++
- Strong foundation in wireless networking concepts
- Motivation to learn 5G concepts
- Availability to work in-presence
Betreuer:
Masterarbeiten
FPGA Implementation of Multi-Protocol Detection and Control for Optical Wireless
Beschreibung
The primary goal of the thesis is to design and implement a FPGA-based system that enables multi-protocol support, automatic detection, and point-to-multipoint communication and contributes to scalable VLC solutions.
Betreuer:
Implementation and Analysis of a Learning-Based Multipath TCP Scheduler for 5G
Beschreibung
As single-network connections struggle to keep up, the 3GPP's Access Traffic Steering, Switching, and Splitting (ATSSS) framework offers a solution, enabling devices to dynamically switch between and simultaneously use multiple network types like 5G, LTE, and Wi-Fi.
Voraussetzungen
- Experience with programming in C/C++
- Strong foundation in wireless networking concepts
- Motivation to learn 5G concepts
Betreuer:
Implementation and Evaluation of a Cross-Layer Multipath Scheduler
Beschreibung
Are you ready to dive into cutting-edge technology that merges LiFi and WiFi networks? Imagine your work enabling devices to seamlessly connect across multiple interfaces, pushing the boundaries of what's possible in wireless communication. With multipath solutions like MPTCP and MPQUIC, the potential is immense—but the challenge is real.
We are looking for a motivated student to design and implement a state-of-the-art wireless-channel-aware packet scheduler. You'll tackle the complex task of scheduling data packets across multiple network paths, each with unique characteristics like delay and packet loss.
Related Reading:
- W. Yang, L. Cai, S. Shu, J. Pan and A. Sepahi, "MAMS: Mobility-Aware Multipath Scheduler for MPQUIC," in IEEE/ACM Transactions on Networking, vol. 32, no. 4, pp. 3237-3252, Aug. 2024, doi: 10.1109/TNET.2024.3382269.
If you are interested in this work, please send me an email with a short introduction of yourself along with your CV and grade transcript.
Voraussetzungen
- Experience with Linux networking
- Strong foundation in wireless networking concepts
- Availability to work in-presence
Betreuer:
Forschungspraxis (Research Internships)
Explainable Deep Reinforcement Learning for Task Offloading in Multipath Networks
Beschreibung
This work will investigate how deep reinforcement learning can be leveraged to automate and optimize task offloading strategies while incorporating explainability techniques to make AI-driven decisions more transparent and interpretable. The goal is to develop a system that not only improves efficiency but also provides insights into why certain decisions are made, increasing trust and usability in real-world deployments
Voraussetzungen
- Experience with Python, TensorFlow/PyTorch, reinforcement learning
- Strong background in wireless networks
Betreuer:
Evaluating Multi-Link Operation for Reliability in Wi-Fi 8
Beschreibung
Wi-Fi 7 introduces Multi-Link Operation (MLO) – a technology that enables devices to transmit and receive data across multiple frequency bands simultaneously. This innovation optimizes network performance and reliability especially in high-density environments.
In this thesis, you'll evaluate resource allocation strategies for MLO using the ns-3 network simulator. Join this exciting research and help shape the next generation of wireless communication!
Related Reading:
- M. Carrascosa-Zamacois, G. Geraci, E. Knightly and B. Bellalta, "Wi-Fi Multi-Link Operation: An Experimental Study of Latency and Throughput," in IEEE/ACM Transactions on Networking, vol. 32, no. 1, pp. 308-322, Feb. 2024, doi: 10.1109/TNET.2023.3283154.
- L. Zhang, H. Yin, S. Roy, L. Cao, X. Gao and V. Sathya, "IEEE 802.11be Network Throughput Optimization With Multi-Link Operation and AP Controller," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2024.3386653.
If you are interested in this work, please send me an email with a short introduction of yourself along with your CV and grade transcript.
Voraussetzungen
- Experience with programming in C/C++
- Strong foundation in wireless networking concepts
- Motivation to learn multi-link concepts