Dissemination Activities
- M. Zan, Cooperative Deep Reinforcement Learning for Fair RIS Allocation, WiOpt 2026, June 2026, Columbus, OH, USA
- M. Zan, Auction-Based RIS Allocation With DRL: Controlling the Cost-Performance Trade-Off, ICC 2026, May 2026, Glasgow, UK
- S. Schwarz, Multi-Agent Deep Reinforcement Learning for Mobile Wireless Systems: From Distributed Power Allocation to Auction-Based RIS Access, EURECOM Communication Systems Seminar, Dec. 2025, Sophia Antipolis, France
- S. Schwarz, Multi-Agent Deep Reinforcement Learning for Cell-free MIMO Systems: From Distributed Power Allocation to Auction-Based RIS Access, 11th Annual European Future of Wireless Technology Workshop, Sept. 2025, Stockholm, Sweden
- Z. Huang, Leveraging Large Reconfigurable Intelligent Surfaces as Anchors for Near-Field Positioning, IEEE VTC2025-Spring, June 2025, Oslo, Norway
Publications
- Z. Huang, “Large-Scale RIS Optimization for Wideband Communications and Positioning,” PhD Dissertation, TU Wien, October, 2026
- M. Zan and S. Schwarz, “Graph Neural Network-Driven Deep Reinforcement Learning for Scalable RIS Allocation,” submitted to IEEE Transactions on Cognitive Communications and Networking, arxiv preprint: https://doi.org/10.48550/arXiv.2610.06295
- M. Zan and S. Schwarz, “Auction-Based RIS Allocation With DRL: Controlling the Cost-Performance Trade-Off,” ICC 2026 – IEEE International Conference on Communications, Glasgow, UK, 2026, doi: 10.1109/ICC59461.2026.11587771
- M. Zan and S. Schwarz, “Cooperative Deep Reinforcement Learning for Fair RIS Allocation,” 2026 24th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Columbus, OH, USA, 2026, doi: 10.23919/WiOpt71098.2026.11568171
- Z. Huang, M. Rupp and S. Schwarz, “Leveraging Large Reconfigurable Intelligent Surfaces as Anchors for Near-Field Positioning,” 2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring), Oslo, Norway, 2025, pp. 1-5, doi: 10.1109/VTC2025-Spring65109.2025.11174280
Prior Results
RL-Core is based on our prior work:
S. Schwarz, “Gambling on Reconfigurable Intelligent Surfaces,” in IEEE Communications Letters, vol. 28, no. 4, pp. 957-961, April 2024, doi: 10.1109/LCOMM.2024.3360477