BeGREEN: Beyond 5G Artificial Intelligence Assisted Energy Efficient Open Radio Access Network

BeGREEN：超越 5G 人工智能辅助节能开放无线电接入网络

• 批准号: 10059696
• 金额: $ 30.42万
• 依托单位: BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10059696
• 关键词: BeGREEN; Beyond; 5G; Artificial; Intelligence

BeGREEN will take a holistic view to propose evolving radio networks that not only accommodate increasing traffic and services but also consider power consumption as a factor. Determining the metrics by which power consumption should be included is a key feature which will be studied as first stage of the project. This will include not only the cost of the energy but also societal factors. BeGREEN will evaluate different mechanisms by which power consumption could be reduced based on the following pillars: At the architecture level, planning and evaluation of a massive MIMO included RAN design to achieve flexible and energy efficient connectivity considering spectrum utilisation, interference mitigation and architecture/processing complexity. At the hardware and infrastructure level, radio-unit controlling schemes will be used in power amplifiers energy optimisation. Also, an offloading engine for hardware acceleration will be employed to achieve energy efficiency when performing radio access functions and network function virtualisation. At the link level, the integrated sensing techniques are used to provide a better estimate of the impact of the radio channel toward improvements in spectral efficiency against the increased power consumption associated with the resulting calculations. At the system level, the project pursues the development and evaluation of AI-based procedures to adapt the energy consumption of softwarised network functions, aiming to minimize the overall consumed energy according to the utilisation patterns of network. BeGREEN proposes an “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. BeGREEN will use O-RAN as the baseline architecture, due to new/suitable interfaces and protocols it can provide, to be used for the movement of data around the network to the appropriate location for performance and efficiency assessments. In addition, the disaggregation, virtualisation and network and service management capabilities inherent in O-RAN provide the mechanisms to realise many of the infrastructure changes and techniques for energy optimisation pursued in BeGREEN. BeGREEN will use AI/ML techniques to provide solutions for reducing the required calculations and to recognise patterns in the system level data associated with the behaviour of the user-base and to learn the most appropriate response to this behaviour in terms of both network performance and energy consumption. In this scheme, impact of the location of the AI/ML operations within the network on the performance of the approach, the consumption of power and the ability to share resources between different operations will be considered. BeGREEN technologies will be showcased in three demonstrations. At IHP premises, the joint communications and sensing techniques toward efficient resource allocation and optimised power consumption. The project targets using reconfigurable intelligent surfaces for energy saving scenarios in the demonstrations. Furthermore, two major project demonstrations will be performed at BT premises in Adastral park. First, the ‘Intelligent Plane’ implemented using ORAN rApps and xApps will be demonstrated on a network emulator. Then, the project final integrated demonstrator using the Adastral testbed facilities to showcase BeGREEN technology innovations.

Begreen将采取整体观点，提出不仅接受增加的流量和服务，而且将功耗视为一个因素的无线电网络。确定应包括功耗的指标是一个关键功能，该功能将作为项目的第一阶段进行研究。这不仅包括能源的成本，还包括社会因素。 Begreen将根据以下支柱进行评估可以减少功耗的不同机制：在建筑水平上，对大型MIMO的规划和评估包括设计，以实现频谱利用，干扰缓解和建筑/处理/处理复杂性，以实现灵活和节能的连通性。在硬件和基础架构级别上，将用于功率放大器能量优化的无线电单元控制方案。此外，在执行无线电访问功能和网络功能虚拟化时，将采用用于硬件加速的卸载引擎来实现能源效率。在链路级别上，使用集成的感应技术来更好地估计无线电通道对频谱效率提高的影响与与结果计算相关的增加功耗的影响。在系统级别，该项目追求基于AI的程序的开发和评估，以适应软件网络功能的能源消耗，以根据网络的利用方式最大程度地减少整体消费能源。 Begreen提出了一个“智能平面”，作为一个附加平面以及用户平面和数据平面，该平面允许在网络函数之间无缝交换数据，模型和推理。 Begreen将使用O-Ran作为基线体系结构，这是由于它可以提供的新/合适的接口和协议，用于将网络周围的数据移动到适当的位置进行性能和效率评估。此外，O-Ran固有的分类，虚拟化以及网络和服务管理功能提供了实现许多基础架构的变化和技术优化技术的机制。 Begreen将使用AI/ML技术来提供减少所需计算的解决方案，并识别与用户基本行为相关的系统级别数据中的模式，并以网络性能和能源消耗来学习对此行为的最合适响应。在此方案中，将考虑AI/ML操作在网络中的位置对方法的性能，功率消耗以及在不同操作之间共享资源的能力。 Begreen Technologies将在三个演示中显示。在IHP前提下，联合通信和传感技术用于有效的资源分配和优化的功耗。该项目使用可重构的智能表面进行针对演示中节能场景的智能表面。此外，将在Adastral Park的BT场所进行两个主要的项目示威活动。首先，将在网络模拟器上演示使用Oran Rapps和XAPP实施的“智能飞机”。然后，使用Adastral Test床设施展示Begreen技术创新的最终集成演示器。