An Energy-Aware Multi-Domain Orchestration Architecture for Sustainable 6G Networks
| Art der Publikation: | Artikel |
| Zitat: | |
| Publication status: | Under review |
| Zeitschrift: | Computer Communications |
| Band: | Selected Papers from the 21th Wireless On-demand Network systems and Services Conference |
| Jahr: | 2026 |
| Abriss: | Next-generation 6G infrastructures are expected to behave as intelligent, sustainable, and self- optimizing systems that bring together heterogeneous communication and energy domains. This paper introduces an energy-aware, multi-domain orchestration framework for 6G networks that rests on a hierarchical control model composed of an Inter-Domain Management and Orchestration (IDMO) layer, per-domain Management and Orchestration (DMO) entities, and Infrastructure Domain Managers (IDMs), all coupled through a Service-Based Management Architecture (SBMA). The framework further embeds Virtual Power Plants (VPPs) and an inter-domain Energy Management System (EMS) that interface, both physically and logically, with the network fabric while preserving the operational independence of local grids. The EMS processes standardized, cross-domain energy data and forecasts into locality-aware reports for the IDMO, which drives cross-domain service decomposition, placement, and reconfiguration. The design is realized as an executable prototype in which the IDMO ranks candidate domains with a Multi-Criteria Decision Analysis (MCDA) score that weighs service capability, free capacity, latency slack, and an EMS-supplied greenness signal, and whose VPP–TSO interface solves a power flow on a CIGRE benchmark grid driven by hourly ENTSO-E data for two real national grids. On a two-domain proof of concept it reduces carbon by 31.2% (from 803 to 553 gCO2eq/h) at 100% slice acceptance and within the slices’ latency SLAs, and sustains 95% acceptance under load where a performance-first orchestrator retains only 72%. On the NOBEL-EU and GÉANT backbones (200 requests, 40 ms SLA) it reduces carbon by 19.9% and 16.0% at 95.5% and 90.0% acceptance |
| Schlagworte: | 6G networks, AI-native automation, energy-aware network management, multi-domain orchestration |
| Autoren | |
| Hinzugefügt von: | [] |
| Gesamtbewertung: | 0 |
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