5 papers
Graph Neural Network-Driven Deep Reinforcement Learning for Scalable RIS Allocation
Martin Mark Zan, Stefan Schwarz
Reconfigurable Intelligent Surfaces (RISs) offer a promising paradigm to mitigate blockage and extend millimeter-wave coverage in 6G multi-cell networks. However, dynamically alloc…
Cooperative Deep Reinforcement Learning for Fair RIS Allocation
Martin Mark Zan, Stefan Schwarz
The deployment of reconfigurable intelligent surfaces (RISs) introduces new challenges for resource allocation in multi-cell wireless networks, particularly when user loads are une…
Auction-Based RIS Allocation With DRL: Controlling the Cost-Performance Trade-Off
Martin Mark Zan, Stefan Schwarz
We study the allocation of reconfigurable intelligent surfaces (RISs) in a multi-cell wireless network, where base stations compete for control of shared RIS units deployed at the…
Leveraging Large Reconfigurable Intelligent Surfaces as Anchors for Near-Field Positioning
Zeyu Huang, Markus Rupp, Stefan Schwarz
In this work, we present a recent investigation on leveraging large reconfigurable intelligent surfaces (RIS) as anchors for positioning in wireless communication systems. Unlike e…
Hybrid Channel Modeling and Environment Reconstruction for Terahertz Monostatic Sensing
Yejian Lyu, Zeyu Huang, Stefan Schwarz +1
THz ISAC aims to integrate novel functionalities, such as positioning and environmental sensing, into communication systems. Accurate channel modeling is crucial for the design and…