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DEDICAT 6G - Dynamic Coverage Extension and Distributed Intelligence for Human Centric Applications with Assured Security, Privacy and Trust: from 5G to 6G

机译:Dedicat 6G - 用于人类以保证的安全性,隐私和信任的人为中心应用的动态覆盖范围和分布式智能:从5G到6G

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5G networks offer unparalleled data rates and features. However these are still far from what a hyperconnected society and industry needs. Future wireless connectivity Beyond 5G (B5G)/6G will require a smart and green platform that is ultra-fast, highly adaptive, and dependable to support innovative, human-centric applications securely. This is the focus of the EU-funded DEDICAT 6G project, the vision and methodology of which is presented in this paper. DEDICAT 6G investigates enablers for dynamic distribution of intelligence to improve task execution time, energy efficiency, and ultimately, reduce end-to-end latency. The project also examines solutions for dynamic coverage extensions utilizing robots, connected vehicles and drones. The scope also comprises methods for security, privacy, and trust assurance including enablers for novel interaction between humans and digital systems exploiting innovative interfaces and devices, like smart glasses. DEDICAT 6G focuses on four representative 6G use cases: Smart Warehousing, Enhanced Experience, Public Safety and Smart Highway. The developed solutions will be demonstrated and tested in these use cases through experiments in laboratory environments, and larger field evaluations utilizing diverse assets and testing facilities. The aim is to derive results that will showcase substantial improvements in terms of intelligent network load balancing and resource allocation, extended coverage, enhanced security, privacy and trust and human-machine applications,
机译:5G网络提供无与伦比的数据速率和功能。然而,这些仍然远非超相关的社会和行业需求。未来的无线连接超过5g(b5g)/ 6g将需要一个超快速,高度自适应,并且可靠地支持创新的人造应用的智能和绿色平台。这是欧盟资助的Dedicat 6G项目的重点,本文提出了愿景和方法。 Dedicat 6G调查了智能动态分布的推动者,以提高任务执行时间,能效,最终降低端到端延迟。该项目还通过机器人,连接的车辆和无人机来检查动态覆盖扩展的解决方案。范围还包括安全,隐私和信任保证的方法,包括人类和数字系统之间新颖互动的推动者利用创新的界面和设备,如智能眼镜。 Dedicat 6G专注于四个代表6G用例:智能仓储,增强经验,公共安全和智能公路。通过实验室环境中的实验,在这些用例中证明和测试开发的解决方案,以及利用各种资产和测试设施的更大现场评估。目的是导出结果,将展示智能网络负载平衡和资源分配,扩展覆盖,增强的安全性,隐私和信任和信任和人机应用程序的大量改进

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