8 papers
Rethinking Fronthaul Topologies for Cell-Free 6G Networks
Max Franke, Arash Pourdamghani, Fabian Göttsch +2
Due to significant progress in physical layer (PHY) technologies, future 6G networks are expected to feature much denser antenna deployments. Cell-free MIMO network designs are one…
A Learning-Augmented Overlay Network
Julien Dallot, Caio Caldeira, Arash Pourdamghani +2
This paper studies the integration of machine-learned advice in overlay networks in order to adapt their topology to the incoming demand. Such demand-aware systems have recently re…
A Tutorial on Controlling Metasurfaces from the Network Perspective
Christos Liaskos, Evangelos Papapetrou, Kostas Katsalis +6
Metasurfaces have emerged as transformative electromagnetic structures for wireless communications, enabling the real-time control over wave propagation, yielding potential for imp…
Optimizing Fronthaul Quantization for Flexible User Load in Cell-Free Massive MIMO
Fabian Göttsch, Max Franke, Arash Pourdamghani +2
We investigate the physical layer (PHY) spectral efficiency and fronthaul network load of a scalable user-centric cell-free massive MIMO system. Each user-centric cluster processor…
BSB: Towards Demand-Aware Peer Selection With XOR-based Routing
Qingyun Ji, Darya Melnyk, Arash Pourdamghani +1
Peer-to-peer networks, as a key enabler of modern networked and distributed systems, rely on peer-selection algorithms to optimize their scalability and performance. Peer-selection…
Hash & Adjust: Competitive Demand-Aware Consistent Hashing
Arash Pourdamghani, Chen Avin, Robert Sama +2
Distributed systems often serve dynamic workloads and resource demands evolve over time. Such a temporal behavior stands in contrast to the static and demand-oblivious nature of mo…