PhD dissertation

• Anupama Hegde, "Radio Resource Allocation in Cellular V2X: From Rule Based to Reinforcement Learning Based Approaches", Friedrich-Alexander-Universität (FAU), Erlangen-Nürnberg, June 2024. [URI DOI]

Master thesis

• Anupama Hegde, "Non orthogonal signalling for Universal Filter Multi-Carrier (UFMC) over doubly dispersive wireless channels employing multicarrier modulation.", Universität Stuttgart, July 2017.

Conferences, journals and workshops

First author publications

• A. Hegde, M. M. H. Roth, H. Bischl, "Routing in Low Earth Orbit Satellite Networks: Constrained DQN Based Approach", in IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy, 2025. [DOI]

• A. Hegde, R. Song and A. Festag, "Radio Resource Allocation in 5G-NR V2X: A Multi-Agent Actor-Critic Based Approach," in IEEE Access, vol. 11, pp. 87225-87244, 2023. [DOI]

• A. Hegde, Q. Delooz, C. L. Mariyaklla, A. Festag and F. Klingler, "Radio Resource Allocation for Collective Perception in 5G-NR Vehicle-to-X Communication Systems," 2023 IEEE Wireless Communications and Networking Conference (WCNC), Glasgow, United Kingdom, 2023, pp. 1-7. [DOI]

• A. Hegde, S. Lobo and A. Festag, "Cellular-V2X for Vulnerable Road User Protection in Cooperative ITS," 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Thessaloniki, Greece, 2022, pp. 118-123. [DOI]

• A.Hegde, R. Stahl, S.Lobo and A.Festag, “Modeling Cellular Network Infrastructure in SUMO”, 2021 SUMO conference (virtual), vol. 2, pp. 99-113. [DOI]

• A. Hegde and A. Festag, "Mode Switching Performance in Cellular-V2X," 2020 IEEE Vehicular Networking Conference (VNC), New York, NY, USA, 2020, pp. 1-8. [DOI]

• A. Hegde and A. Festag, “Artery-C: An OMNeT++ Based Discrete Event Simulation Framework for Cellular V2X”, 2020 ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM), Alicante, Spain, 2020. [DOI arXiv]

• A. Hegde and A. Festag, “Mode Switching Strategies in Cellular V2X”, 2019 10th IFAC Symposium on Intelligent Autonomous Vehicles, Gdansk, Poland, 2019, vol. 52, no. 8, pp.81-86. [DOI]

Collaborating author

• M. M. H. Roth, T. Jerkovits, A. Hegde, T. Delamotte and A. Knopp, "Deep Reinforcement Learning for Adaptive Traffic Engineering in Satellite Constellation Networks", in 12th Advanced Satellite Multimedia Systems Conference (ASMS), Sitges (Barcelona), Spain, 2025. [DOI]

• M. M. H. Roth, A. Hegde, T. Delamotte and A. Knopp, “Shaping Rewards, Shaping Routes: On Multi-Agent Deep Q-Networks for Routing in Satellite Constellation Networks”, in Proceedings of SPAICE2024: The First Joint European Space Agency / IAA Conference on AI in and for Space, ESA European Centre for Space Applications and Telecommunications (ECSAT), Harwell, UK, Oct. 2024, pp. 100–104. [DOI]

• R. Song, A. Hegde, N. Senel, A. Knoll and A. Festag, "Edge-Aided Sensor Data Sharing in Vehicular Communication Networks," 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring), Helsinki, Finland, 2022, pp. 1-7. [DOI]