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A Heterogeneous Multi-agent Deep Reinforcement Learning Framework for Wireless Power Allocation under Realistic Urban Mobility Models

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Konferenz/Event:GLOBECOM 2025 - 2025 IEEE Global Communications Conference , Taipei , Taiwan , 2025-12-08 - 2025-12-12

Online
DOI: 10.1109/GLOBECOM59602.2025.11431641

URL: https://publications.rwth-aachen.de/record/1034999/files/A_Heterogeneous_Multi-agent_Deep_Reinforcement_Learning_Framework_for_Wireless_Power_Allocation_under_Realistic_Urban_Mobility_Models.pdf

Einrichtungen

  1. Lehrstuhl für Verteilte Signalverarbeitung (612310)

Projekte

  1. BMFTR 16KISK036K - Verbundprojekt: 6G-Forschungs-Hub für offene, effiziente und sichere Mobilfunksysteme - 6GEM -; Teilvorhaben: Adaptive hierarchische vielseitig einsetzbare 6G Netze (16KISK036K) (16KISK036K)

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Dokumenttyp
Conference Presentation

Format
online

Sprache
English

Interne Identnummern
RWTH-2026-04809
Datensatz-ID: 1034999

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Faculty of Electrical Engineering and Information Technology (Fac.6)
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612310
 Record created 2026-05-05, last modified 2026-05-12
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