6G-MUSICAL - 6G MUltiband Wireless and Optical Signalling for Integrated CommunicAtions, Sensing and Localization
6G-MUSICAL - 6G MUltiband Wireless and Optical Signalling for Integrated CommunicAtions, Sensing and Localization
批准号:
10093329
负责人:
金额:
$65.69万
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2024
资助国家:
英国
项目状态:
未结题
起止时间:
2024 至 --
中文摘要
6 G-MUSICAL是一个突破性的项目,它融合了无线电传感和通信技术,创造了射频通信的新范式。它旨在为6 G的边缘基础设施节点配备集成的基于RF/雷达的无线电传感元件,与通信组件协同工作。这使得定位、物体跟踪和3D成像具有厘米级的精度和分辨率。因此,该项目将研究新的频谱和节能系统架构和信号,以促进跨多频带的高速率通信,并集成准确的传感和定位。与其他联合通信和传感研究相比,6 G-MUSICAL在两个方面脱颖而出。首先,它考虑了对连接和非连接对象的感知,考虑到连接一切的趋势,这一点很重要。其次,它解决了边缘节点的同步问题,这对于实现极高的精度和分辨率至关重要。该项目将结合联合收割机光学和电子技术,以产生精确和稳定的参考,在未来的6 G中实现智能协作多基地雷达网络,带来新的服务,高精度定位和高分辨率3D物体重建。在无线领域,该项目将定义适用于无线电传感和通信的新波形,利用压缩传感技术,并定义合作多模传感和定位算法。在网络领域,重点将放在边缘节点之间的同步/校准程序和压缩技术,使低开销传输到数据融合中心的收集信息。光/电技术将开发和分发参考信号,并将创建新型天线以满足6 G需求。机器学习将用于共同优化系统和服务。关键技术将在实验室中进行演示,以满足一套严格的预定义KPI。
英文摘要
6G-MUSICAL is a ground-breaking project that merges radio sensing and communication technologies to create new paradigms in RFcommunication. It aimsto equip edge infrastructure nodes of 6G with integrated RF/radar-based radio-sensing elementsthat co-work withcommunication components. This enables localization, object tracking and 3D imaging, with cm-level precision and resolution. As such,the project will investigate new spectrally and energy efficient system architectures and signals, to facilitate high-rate communicationacross multi-frequency bands integrated with accurate sensing and localization. Compared to other joint communication and sensingresearch, 6G-MUSICAL stands out in two ways. First, it considers sensing for both connected and non-connected objects, which isimportant given the trend towards connecting everything. Second, it addresses the synchronization of edge nodes, which is critical toachieving extreme levels of accuracy and resolution. The project will combine optical and electronic technologies to generate precise andstable references, enabling a network of smart cooperative multi-static radars, within future 6G, bringing new services, high accuracylocalization and high-resolution 3D object reconstruction. In the wireless domain, the project will define new waveforms suitable forradio-sensing and communications, exploit compressive sensing techniques and define cooperative multimode sensing and localizationalgorithms. In the network domain, focus will be on procedures for synchronization/calibration among edge nodes and on compressiontechniques to enable low overhead transport to a data fusion center of the collected information. The optical/electrical technology willdevelop and distribute the reference signals and will create novel antennas to address 6G requirements. Machine learning will be usedto jointly optimize the system and services. Key technologies will be demonstrated in labs to meet a stringent set of predefined KPIs.
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