D5.3 BeGREEN Use Case Demonstration and KPI Assessment

BeGREEN D5.3 documents the consortium’s final system-level demonstrations and quantitative KPI assessment after thirty months of R&D. Five Proofs-of-Concept (PoCs) were built, at BT Adastral Park (UK), Accelleran, IHP, NEC Labs, and RunEL premises, and partner universities, showcasing a holistic, AI-driven, energy-efficient 6G Radio Access Network (RAN) architecture. Key results reported in this deliverable are: · PoC1: Intelligence-Plane maturity ‑ Non-RT and Near-RT RICs, AI Engine and rApp/xApp suite reached TRL-6 and executed a closed-loop cell on/off strategy that reduced radio-access energy by up to 30 % with <15 % Quality of Service (QoS) impact. A conflict manager ensured >30% energy-efficiency gain while safeguarding mobility-related xApps, proving the feasibility of multi-objective orchestration. Model-Selection logic trimmed Machine Learning (ML)-inference energy by 40–68% while maintaining accuracy through adaptive time-granularity. · PoC2: Reconfigurable Intelligent Surface (RIS)-assisted Integrated Sensing and Communication (ISAC) ‑ Sub-6 GHz sensing achieved 0.7 m range resolution and >90% person-count precision. First-of-its-kind demonstration of “sensing-through-RIS” verified user detection behind obstacles, enabling coverage-aware RU sleep modes. · PoC3: Energy-aware CU & O-RAN RIC ‑ Porting to ARM servers yielded up to 10% savings under high traffic, with 33% lower idle power versus x86, validating edge-grade, low-carbon cloud-native RAN. · PoC4: Hardware (HW)-accelerated DU - Graphics Processing Unit (GPU)-based sphere decoder cut execution time by 11× and improved energy efficiency from 9 kbit/J (CPU) to 100 kbit/J—evidence that off-the-shelf accelerators are pivotal for green Layer-1 processing. · PoC5: Power Amplifier (PA)-blanking in 6G RU ‑ Field trial at Brunel University confirmed 64 % PA power savings, dropping RU PA draw from 5.41 W to 1.94 W using scheduler-driven blanking. Collectively, the PoCs demonstrate an end-to-end 6G blueprint capable of achieving 20-35 % system-level energy reduction without degrading user experience, supporting the project’s vision of a carbon-aware mobile network stack. The results are fed into O-RAN Alliance and 3GPP work items.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-19
DOI
https://doi.org/10.5281/zenodo.17161446
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

D5.3 BeGREEN Use Case Demonstration and KPI Assessment

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

D5.3 BeGREEN Use Case Demonstration and KPI Assessment

article en

Abstract

BeGREEN D5.3 documents the consortium’s final system-level demonstrations and quantitative KPI assessment after thirty months of R&D. Five Proofs-of-Concept (PoCs) were built, at BT Adastral Park (UK), Accelleran, IHP, NEC Labs, and RunEL premises, and partner universities, showcasing a holistic, AI-driven, energy-efficient 6G Radio Access Network (RAN) architecture. Key results reported in this deliverable are: · PoC1: Intelligence-Plane maturity ‑ Non-RT and Near-RT RICs, AI Engine and rApp/xApp suite reached TRL-6 and executed a closed-loop cell on/off strategy that reduced radio-access energy by up to 30 % with <15 % Quality of Service (QoS) impact. A conflict manager ensured >30% energy-efficiency gain while safeguarding mobility-related xApps, proving the feasibility of multi-objective orchestration. Model-Selection logic trimmed Machine Learning (ML)-inference energy by 40–68% while maintaining accuracy through adaptive time-granularity. · PoC2: Reconfigurable Intelligent Surface (RIS)-assisted Integrated Sensing and Communication (ISAC) ‑ Sub-6 GHz sensing achieved 0.7 m range resolution and >90% person-count precision. First-of-its-kind demonstration of “sensing-through-RIS” verified user detection behind obstacles, enabling coverage-aware RU sleep modes. · PoC3: Energy-aware CU & O-RAN RIC ‑ Porting to ARM servers yielded up to 10% savings under high traffic, with 33% lower idle power versus x86, validating edge-grade, low-carbon cloud-native RAN. · PoC4: Hardware (HW)-accelerated DU - Graphics Processing Unit (GPU)-based sphere decoder cut execution time by 11× and improved energy efficiency from 9 kbit/J (CPU) to 100 kbit/J—evidence that off-the-shelf accelerators are pivotal for green Layer-1 processing. · PoC5: Power Amplifier (PA)-blanking in 6G RU ‑ Field trial at Brunel University confirmed 64 % PA power savings, dropping RU PA draw from 5.41 W to 1.94 W using scheduler-driven blanking. Collectively, the PoCs demonstrate an end-to-end 6G blueprint capable of achieving 20-35 % system-level energy reduction without degrading user experience, supporting the project’s vision of a carbon-aware mobile network stack. The results are fed into O-RAN Alliance and 3GPP work items.

Zenodo (CERN European Organization for Nuclear Research)
BT Group (United Kingdom) (GB), Mathematical Systems & Solutions (United States) (US), Telefónica (Spain) (ES), i2CAT (ES), Parallel Consulting (United States) (US), Telefonica Research and Development (ES), Ericsson (Ireland) (IE), Leibniz Institute for High Performance Microelectronics (DE), Universitat Politècnica de Catalunya (ES)
Affordable and clean energy
Openalex Percentile: Top 31%
Geochemistry and Geologic Mapping
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