Assessing the suitability of Multipath TCP and QUIC for LiFi-WiFi networks
Beschreibung
In order to fully utilize the capabilities of a LiFi-WiFi network, user devices should be capable of using multiple network interfaces simultaneously. Thanks to multipath solutions like MPTCP and MPQUIC, this is possible.
The challenge in a multipath-enabled heterogeneous network lies in designing a policy to schedule
data packets onto the multiple paths with heterogeneous characteristics (eg. delay, packet loss).
The goal of this work is 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:
- P. S. Kumar, N. Fatima and P. Saxena, "Performance analysis of Multipath Transport layer schedulers under 5G/B5G hybrid networks," 2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS), Bangalore, India, 2022, pp. 658-666, doi: 10.1109/COMSNETS53615.2022.9668483.
- Q. De Coninck and O. Bonaventure, "MultipathTester: Comparing MPTCP and MPQUIC in Mobile Environments," 2019 Network Traffic Measurement and Analysis Conference (TMA), Paris, France, 2019, pp. 221-226, doi: 10.23919/TMA.2019.8784653.
- 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:
Mobility-aware resource allocation in multipath LiFi-WiFi networks
Beschreibung
In order to fully utilize the capabilities of a LiFi-WiFi network, user devices should be capable of using multiple network interfaces simultaneously. Thanks to multipath solutions like MPTCP and MPQUIC, this is possible.
The challenge in a multipath-enabled heterogeneous network lies in designing a resource allocation scheme to manage resources of both technologies resulting in an optimal network.
The goal of this work is to develop a resource allocation framework in a python simulator to assign the users to access points and allocate wireless resources of both technologies to maximize the throughput of the network. The resource allocation scheme would be developed using multi-agent reinforcement learning and should be compared to an analytical scheme such as Lagrangian optimization and an “optimal” scheme implemented with an off the shelf solver like Gurobi.
Related Reading:
- D. Frometa Fonseca, B. Genoves Guzman, G. Luca Martena, R. Bian, H. Haas and D. Giustiniano, "Prediction-model-assisted reinforcement learning algorithm for handover decision-making in hybrid LiFi and WiFi networks," in Journal of Optical Communications and Networking, vol. 16, no. 2, pp. 159-170, February 2024, doi: 10.1364/JOCN.495234.
- F. Jin, R. Zhang and L. Hanzo, "Resource Allocation Under Delay-Guarantee Constraints for Heterogeneous Visible-Light and RF Femtocell," in IEEE Transactions on Wireless Communications, vol. 14, no. 2, pp. 1020-1034, Feb. 2015, doi: 10.1109/TWC.2014.2363451.
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 Python
- Experience with reinforcement learning
- Strong foundation in wireless networking concepts
- Motivation to learn optimization concepts