Startseite Team Mitarbeiter Vijayaraghavan, Hansini
Academic Staff
Hansini Vijayaraghavan , M.Sc.
Chair of Communication Networks (Prof. Kellerer)
Postal address
Postal :Arcisstr. 21 80333 München
Phone: +49 (89) 289 - 23262
Room: 0509.02.913
hansini.vijayaraghavan(at)tum.de
Biography
Hansini Vijayaraghavan completed her Bachelor of Engineering in Electronics and Communication engineering in India in 2016. She received the Master of Science degree in Communication Engineering from the Technical University of Munich in November 2018. In January 2019, she joined the Chair of Communication Networks as a Research and Teaching Associate, where she is currently pursuing a PhD. More information is available on the Linkedin page.
Research
Hansini's research field is Wireless Resource Management and Environment Planning, primarily focusing on Wireless Optical Network Management.
Student Thesis/Internship Supervision
Completed student works
Bachelorarbeiten
05.09.2023 Resource Allocation with Reinforcement Learning to maximize rate in LiFi-WiFi Networks
Kontakt
hansini.vijayaraghavan@tum.de
Betreuer:
25.10.2022 Performance Evaluation of a Reinforcement Learning based Multipath Scheduler
02.03.2021 Influence of the human body on indoor LiFi communication
16.03.2021 Modelling and Analyzing the influence of passengers on aircraft cabin channel models
Betreuer:
Jörg von Mankowski, Hansini Vijayaraghavan
Masterarbeiten
07.05.2024 Exploring Multilink Operation for Fast and Real-Time Transmissions in Wi-Fi 7
Betreuer:
Alba Jano, Hansini Vijayaraghavan, Ben Schneider (Siemens)
- Ben Schneider (Siemens)
05.09.2023 AP Sum Power Minimization of a cfmMIMO Network subject to per-UE Minimum Rate Constraints with ML
Betreuer:
Valentin Haider, Hansini Vijayaraghavan
30.11.2023 Reinforcement Learning based Resource Allocation in a multi-hop multi-path heterogeneous LiFi-WiFi Network
Kontakt
hansini.vijayaraghavan@tum.de
Betreuer:
20.06.2023 Implementation and Evaluation of Reinforcement-Learning-based Multipath TCP Schedulers
29.11.2022 Modeling of Congestion Control in Networks
Betreuer:
Hansini Vijayaraghavan, Dr. Fabien Geyer (Airbus)
- Dr. Fabien Geyer (Airbus)
21.06.2022 Optimization of Access Point Placement in Beyond 5G LiFi-RF Wireless Heterogeneous Networks
Kontakt
hansini.vijayaraghavan@tum.de
Betreuer:
14.12.2021 3D Placement of Optical Front Ends in LiFi Networks
Betreuer:
Hansini Vijayaraghavan, Carmen Mas Machuca
26.05.2020 Handover-aware Downlink Wireless Resource Allocation in Indoor LiFi-WiFi Heterogeneous Networks
Interdisziplinäre Projekte
24.10.2023 Evaluation of the MPTCP Scheduler LATE for Heterogeneous Wireless Networks
Kontakt
hansini.vijayaraghavan@tum.de
Betreuer:
Forschungspraxis (Research Internships)
23.07.2024 Investigating SDR-Based OpenRAN with LiFi Technology
Betreuer:
Hansini Vijayaraghavan, Muhammad Asad (aeroLiFi GmbH)
- Muhammad Asad (aeroLiFi GmbH)
30.07.2024 MPTCP Flexbed: A Comprehensive Framework for Evaluating MPTCP Schedulers in Heterogeneous Network Environments
24.10.2023 Reactive Resource Allocation with Reinforcement Learning to minimize latency in LiFi-WiFi Networks
Kontakt
hansini.vijayaraghavan@tum.de
Betreuer:
22.11.2022 Performance Analysis of LiFi-WiFi HetNets in ns-3
01.03.2022 Analysis of Indoor Wireless Networks under the Influence of Blockages
Betreuer:
Anna Prado, Hansini Vijayaraghavan
14.12.2021 Performance Evaluation of a Multipath transport network in a LiFi-RF Heterogeneous Network
22.03.2022 LiFi Channel Analysis in an Aircraft Cabin
Kontakt
hansini.vijayaraghavan@tum.de
Betreuer:
29.06.2021 Looking ahead - Trajectory Prediction using Deep Neural Networks
Betreuer:
Anna Prado, Hansini Vijayaraghavan
23.02.2021 Mobile user trajectory prediction using Machine Learning methods
Betreuer:
Hansini Vijayaraghavan, Anna Prado
16.03.2021 Modeling and analysis of LiFi Access Point placement strategies for an office
Ingenieurpraxis
09.12.2022 Simulator development for LiFi-RF channel model evaluations
09.12.2022 Simulator development for LiFi channel model evaluation
11.06.2021 Implementation of user mobility models for LiFi networks