Dynamic Master Selection for Cooperative OFDM-ISAC UAV-MEC Networks

This framework demonstrates that cooperative UAV sensing guarantees superior tracking accuracy by significantly lowering the position Cramér-Rao Bound. Simultaneously, it optimizes dynamic master selection and computation offloading to maintain peak communication and processing performance without compromise.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-08
DOI
https://doi.org/10.5281/zenodo.24055571
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Dynamic Master Selection for Cooperative OFDM-ISAC UAV-MEC Networks

Armin Dekorsy, Mohamed Rihan, Hadj Mebarek Zegrar
1 links
Zenodo (CERN European Organization for Nuclear Research)
UAV Applications and Optimization
article

Dynamic Master Selection for Cooperative OFDM-ISAC UAV-MEC Networks

Armin Dekorsy, Mohamed Rihan, Hadj Mebarek Zegrar
article en

Abstract

This framework demonstrates that cooperative UAV sensing guarantees superior tracking accuracy by significantly lowering the position Cramér-Rao Bound. Simultaneously, it optimizes dynamic master selection and computation offloading to maintain peak communication and processing performance without compromise.

Zenodo (CERN European Organization for Nuclear Research)
University of Bremen (DE)
European Commission
UAV Applications and Optimization
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