Artificial Intelligence-enabled Massive Multiple-input multiple-output (AIMM)

支持人工智能的大规模多输入多输出（AIMM）

• 批准号: 106198
• 金额: $ 86.36万
• 依托单位: BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=106198
• 关键词: Artificial; Intelligence; enabled; Massive; Multiple

The fifth-generation of mobile network (5G) aims at transforming the role of wireless technology in society through providing ubiquitous connectivity and many other improvements. In the initial phase of 5G, coverage will only be available in certain areas in a number of large cities worldwide. Increasing the 5G footprint requires additional investments from the operators to deploy new antennas, add spectrum, and upgrade their existing infrastructure. Telcos hence need to look for efficiency and monetization opportunities, beyond simply providing connectivity. 5G through its inherent attributes is anticipated to create the potential for a host of new services, use-cases, business and revenue models. To achieve full monetization, 5G networks must embed new emerging technologies including edge caching, cloud computing, and artificial intelligence (AI) -- with the goal of generating actionable insights and maximizing key performance indicators (KPIs). Creating strong partnerships between telcos, vertical industries, and public agencies is the way forward to realise this.AIMM is a collaborative research and development project involving BT, the largest fixed and mobile operator in the country, Vilicom, an SME specialising in wireless connectivity solutions, and leading research institutions in University of Bristol and Loughborough University. The objective of AIMM is to enhance the performance of mobile radio networks through utilization of AI techniques. Data regarding the distribution, radio channel conditions and service requirements of users will be accessed from the network. AI techniques will be employed to improve performance with existing antenna structures and radio network architectures by enabling better radio access network (RAN) management and optimisation. The value of new items of data that could be collected from both existing architectures and new techniques will also be assessed. The network data sets will also enable AI to unlock the true potential of large-scale antenna arrays (known as massive MIMO), deployed at a central location or distributed over an area, as an important commercial solution for 5G RAN and beyond. At all times, close attention will be paid to the appropriate use and sharing of data between network functions.AIMM therefore addresses two aspects of AI for the 5G RAN and beyond: (1) using AI to optimise the performance of the air-interface and enable the practicable implementation of advanced antenna structures and (2) using AI to manage and optimise network parameters at the system level. AIMM intends to ensure that UK leads the innovation of the next phases of 5G telecoms networks and services.

移动网络的第五代（5G）旨在通过提供无处不在的连通性和许多其他改进来改变无线技术在社会中的作用。在5G的初始阶段，仅在全球许多大城市的某些地区才能提供覆盖范围。增加5G足迹需要运营商的额外投资来部署新天线，添加频谱并升级其现有基础设施。因此，电信公司需要寻找效率和货币化机会，而不仅仅是提供连通性。 5G通过其固有属性预计将为许多新服务，用例，业务和收入模型创造潜力。为了实现完整的货币化，5G网络必须嵌入新的新兴技术，包括边缘缓存，云计算和人工智能（AI），目的是生成可行的见解并最大化关键绩效指标（KPIS）。在电信公司，垂直行业和公共机构之间建立牢固的伙伴关系是实现这一目标的道路。IAMM是一个合作的研发项目，涉及BT，该项目是该国最大的固定和移动运营商，Vilicom，Vilicom，SME，专门从事无线连接解决方​​案，从事Bristol和Loughborough University的领先研究机构。 AIMM的目的是通过利用AI技术来增强移动无线网络的性能。有关用户的分销，无线电通道条件和服务要求的数据，将从网络访问。通过实现更好的无线电访问网络（RAN）管理和优化，将采用AI技术来通过现有天线结构和无线电网络体系结构来提高性能。还将评估可以从现有架构和新技术中收集的新数据项目的价值。网络数据集还将使AI能够解锁大规模天线阵列（称为Massive Mimo）的真正潜力，该阵列部署在中心位置或分布在一个区域上，作为5G跑步及其他地区的重要商业解决方案。在任何时候，将密切关注网络函数之间的数据的适当使用和共享。iaMM因此，针对5G运行及以后的AI的两个方面：（1）使用AI来优化空气接口的性能，并启用高级天线结构的可行实现，并使用AI使用AI来管理和优化网络参数在系统级别上。 AIMM打算确保英国领导5G电信网络和服务的下一个阶段的创新。