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 develop and evaluate cutting-edge 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:

1. 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.
2. 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.

Prerequisites

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:

1. 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.

Prerequisites

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:

1. 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

This thesis will focus on the next generation air to ground communication standard: LDACS. It specifically discusses the IP Layer of the LDACS and mobility mechanisms behind it which enable a seamless handover for the aircraft.

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.

Prerequisites

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:

1. 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

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:

1. 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

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

Prerequisites

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:

1. 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.
2. 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.

Prerequisites