BeGREEN: Beyond 5G Energy Efficient Networking by Hardware Acceleration and AI-Driven Management of Network Functions Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1109/eucnc/6gsummit58263.2023.10188307
This paper presents a technical overview of BeGREEN project, a Horizon Europe, Smart Networks and Services Joint-Undertaking (SNS-JU) Phase 1 project kicked off on January 1, 2023 [1]. This paper is intended to describe BeGREEN's technical scope and objectives. These objectives aim at improving energy efficiency of the beyond 5G (B5G) networks. BeGREEN technical agenda includes analysis of the combined energy and spectrum efficiency of the B5G networks, based on massive multiple-input-multiple-output (mMIMO) scenarios. The project proposes a novel architecture that includes several innovative solutions. An offloading engine is used for hardware acceleration that is a solution for compute-heavy physical layer processing in 5G new radio (5G NR) mMIMO and beyond to improve the processing performance and energy efficiency. The architecture also includes joint communication and sensing (JCAS) for improving energy efficiency of the physical layer functions by, e.g., efficient beam-search and beam tracking, and uses reconfigurable intelligent surfaces (RIS) as an enabler for JCAS. BeGreenproposes an artificial intelligence (AI)-assisted energy-aware “Intelligent Plane” as an additional plane along with user plane and data plane, that allows the data, model, and inference to be seamlessly exchanged between network functions. The project also proposes an AI Engine that is consist of an execution environment that can host AI models and will manage their lifecycle and access to data.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/eucnc/6gsummit58263.2023.10188307
- OA Status
- green
- Cited By
- 2
- References
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385269842
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4385269842Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/eucnc/6gsummit58263.2023.10188307Digital Object Identifier
- Title
-
BeGREEN: Beyond 5G Energy Efficient Networking by Hardware Acceleration and AI-Driven Management of Network FunctionsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-06-06Full publication date if available
- Authors
-
Mir Ghoraishi, Jose Oriol Sallent, Miguel Catalán-Cid, Guillermo Bielsa, Juan-Francisco Esteban-Rivas, Vladica Sark, Jesús Gutiérrez Terán, Simon PryorList of authors in order
- Landing page
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https://doi.org/10.1109/eucnc/6gsummit58263.2023.10188307Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://hdl.handle.net/2117/406350Direct OA link when available
- Concepts
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Acceleration, Computer science, Hardware acceleration, Efficient energy use, Network management, Energy management, Computer network, Energy (signal processing), Networking hardware, Embedded system, Computer architecture, Field-programmable gate array, Electrical engineering, Engineering, Physics, Classical mechanics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2Per-year citation counts (last 5 years)
- References (count)
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3Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| publication_date | 2023-06-06 |
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