Harnessing Large Language Models for Intelligent Wireless Networking
Description
Explore the exciting world of Large Language Models (LLMs) with us!
As LLMs (like GPT-4) transform industries worldwide, this is your chance to be part of this transformative journey in wireless networking.
In this project, you will:
- Re-implement and analyze cutting-edge LLMs, evaluating their strengths, limitations, and specific applications in wireless networking.
- Identify and tailor these models to a unique use case in wireless networking, applying state-of-the-art techniques to solve real-world challenges.
Related Reading:
- Shao, Jiawei, Jingwen Tong, Qiong Wu, Wei Guo, Zijian Li, Zehong Lin, and Jun Zhang. "WirelessLLM: Empowering Large Language Models Towards Wireless Intelligence." arXiv preprint arXiv:2405.17053 (2024).
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.
Prerequisites
- Strong Python programming skills
- Strong foundation in wireless networking concepts
- Prior experience with machine learning frameworks
Supervisor:
Development of a 5G Multipath TCP Testbed for Multi-Access Network Optimization
Description
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.
Prerequisites
- Experience with programming in C/C++
- Strong foundation in wireless networking concepts
- Motivation to learn 5G concepts
- Availability to work in-presence
Supervisor:
Design and Implementation of an Intelligent Multipath Packet Scheduler
Description
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.
Prerequisites
- Experience with Linux networking
- Strong foundation in wireless networking concepts
- Availability to work in-presence