Secured and Intelligent Massive Machine-to-Machine Communication for 6G

6G 的安全智能大规模机器对机器通信

• 批准号: EP/X027244/1
• 负责人: Rahat Iqbal
• 金额: $ 33.8万
• 依托单位: IRIS Automation Ltd
• 依托单位国家: 英国
• 项目类别: Research Grant
• 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=EP%2FX027244%2F1
• 关键词: Secured; Intelligent; Massive; Machine; Communication

To satisfy the expected plethora of demanding services, 6G is envisioned as a revolutionary paradigm to carry forward the capacities of enhanced broadband, massive access, and Ultra-reliable and low latency services in 5G wireless networks to a more robust and intelligent level. This move will introduce significant new multidisciplinary research challenges emerging throughout the wireless communication protocol stacks, including the way the mobile network is modelled and deployed. The structure of 6G networks will be highly heterogeneous, densely deployed, and dynamic. Combined with the tight quality of services, such complex architecture will result in the untenability of legacy network operation routines. In response, artificial intelligence (AI), especially machine learning (ML), Semantic Communication and Digital Twin (DT) are emerging as solutions to realize the fully intelligent network orchestration and management. By learning from uncertain and dynamic environments, AI-enabled channel estimation and spectrum management will open up opportunities for bringing the excellent performance of Ultra-broadband techniques into full play. Additionally, challenges brought by Ultra-massive access concerning energy and security can be mitigated by applying AI-based approaches. The overall research objective of the SCION project is to develop and design the network systems for seamless wireless access for Secure and Intelligent Massive Machine-to-Machine Communications for 6G. In addition to technology development, to meet the urgent needs for the future working force of the coming 6G era, this collaborative project will create a training network for Doctoral Candidates who will contribute to the design and implementation of future 6G networks.

为了满足预期的大量高要求服务，6G被设想为一种革命性的范式，将5G无线网络中的增强型宽带、大规模接入以及超可靠和低延迟服务的容量提升到更加强大和智能的水平。这一举措将在整个无线通信协议栈中引入重大的新的多学科研究挑战，包括移动网络建模和部署的方式。6G网络的结构将是高度异构、密集部署和动态的。再加上对服务质量的严格要求，这种复杂的体系结构将导致传统网络操作例程的难以为继。因此，人工智能（AI），特别是机器学习（ML）、语义通信（Semantic Communication）和数字孪生（Digital Twin）正在成为实现全智能网络编排和管理的解决方案。通过从不确定和动态环境中学习，人工智能支持的信道估计和频谱管理将为充分发挥超宽带技术的卓越性能开辟机会。此外，通过应用基于人工智能的方法，可以缓解超大规模访问带来的能源和安全挑战。SCION项目的总体研究目标是开发和设计用于6G安全和智能大规模机器对机器通信的无缝无线接入网络系统。除了技术发展之外，为了满足即将到来的6G时代对未来劳动力的迫切需求，该合作项目将为博士研究生创建一个培训网络，这些博士生将为未来6G网络的设计和实施做出贡献。