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Matthias Hollick

8 papers hereh-index 252 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author4

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.NI5
  • eess.SP3
same name
  • Matthias Hollick — 9 papers, h 4
  • Matthias Hollick — 2 papers, h 4
  • Matthias Hollick — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
collaborators
Showing 2026Show all

4 papers · 1 filter

cs.NI2026

Island-Ready Communication Networks: Connectivity Monitoring and State Synchronization for 5G Crisis Connectivity at the Edge

Leon Janzen, Maria Koch, Matthias Hollick

Island-ready 5G deployments provide edge connectivity for isolated regions in crisis scenarios by switching to island operation when they are cut off from the global Internet. This…

cs.NI2026

Extended Version: Measuring the End-to-End Resilience of Application Deployments in Real-World Communication Networks with DRACO

Leon Janzen, Matthias Hollick

Billions of users take Internet connectivity for granted and use it daily to access applications deployed anywhere around the globe. What users perceive as a seamless connection be…

eess.SP2026

Fault-Aware Design for Reconfigurable Holographic Surface-Aided ISAC Systems

Lu Wang, Mohamadreza Delbari, Gui Zhou +3

Reconfigurable holographic surface (RHS)-aided integrated sensing and communication (ISAC) systems hold great promise for achieving both sensing and communication with low hardware…

eess.SP2026

Transparent and Resilient Activity Recognition via Attention-Based Distributed Radar Sensing

Mina Shahbazifar, Zolfa Zeinalpour-Yazdi, Matthias Hollick +2

Distributed radar sensors enable robust human activity recognition. However, scaling the number of coordinated nodes introduces challenges in feature extraction from large datasets…

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