课题基金 / 基金详情

Seamless integration of efficient 6G wireless technologies for communication and Sensing

Seamless integration of efficient 6G wireless technologies for communication and Sensing
用于通信和传感的高效 6G 无线技术的无缝集成
批准号:
10102305
负责人:
金额:
$40.13万
依托单位:
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 --

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
6G-SENES提出集成新的6G RAN技术,如无单元(CF)、大规模多输入多输出(MIMO)和联合通信和传感(JCA),以支持由基于3GPP和O-RAN的当前(和未来)架构框架支撑的6G愿景。该项目考虑了一个多技术RAN生态系统,其技术能够提供传感功能。这些技术是Sub-6、Wi-Fi、毫米波和5G NR,它们将共存于JCAS框架中,其目标是从周围环境中检索尽可能多的信息,以提高能效、降低功耗并有利于以高数据速率进行通信。此外,这些技术中的一些将能够集成到使用毫米波和Sub-6技术的完全分布式CF-mMIMO方案的第一个实施中。为了提高可用性和覆盖率并改善传感性能,将利用可重构智能表面(RISS),利用接入点的分布式性质和多个天线的可用性。针对RIS辅助的CF网络体系结构,提出了一种优化的分布式信号处理和资源分配方案。该框架将利用新的物理层技术来增加接入点之间的协作及其固有的能力,以提高感知能力的精确度/准确度。来自这些技术的传感信息将被推送到O-RAN Framweork,用于使用无线电智能控制器(RICS)进行优化。将展示三个概念验证演示,这些演示在单个基础设施中包含项目的拟议目标
英文摘要
6G-SENSES proposes the integration of novel 6G RAN technologies such as Cell-Free (CF) Massive Multiple-Input Multiple-Output (MIMO) and Joint Communication and Sensing (JCAS) to support the 6G vision that is sustained by the current (and future) architectural framework based on 3GPP and O-RAN. The project considers a multi-technology RAN ecosystem with technologies that are able to offer sensing functionalities. These technologies are Sub-6, Wi-Fi, millimeter wave and 5G NR, which will coexist in a JCAS framework whose goal is to retrieve as much information as possible from the surrounding environment to improve energy efficiency, reduce power consumption and favour communication at high data rates. Additionally, some of these technologies will be amenable to be integrated in the first implementation of a fully distributed CF-mMIMO scheme using mmWave and Sub-6 technologies. WIth the aim to enhance availability and coverage and to improve sensing performance, will leverage Reconfigurable Intelligent Surfaces (RISs) making use of the distributed nature of the access points and availability of multiple antennas. An optimization of distributed signal processing and resource allocation schemes tailored for RIS-assisted CF network architecture is proposed. This framework will make use of new PHY technologies to increase the cooperation among access points and their inherent capabilities to improve the precision/accuracy of the sensing capabilities. Sensing information stemming from these technologies will be pushed to the O-RAN framweork for optimization purposes using the Radio Intelligent Controllers (RICs). A total of three Proof-of-Concept demonstrations will be showcased, which encompass the proposed objectives of the project in a single infrastructure
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金