Ultra-Dense, Highly Secure and Intelligent Wireless Communications for 5G and Beyond

面向 5G 及更高技术的超密集、高度安全和智能无线通信

• 批准号: RGPIN-2018-06254
• 负责人: Wang, Xianbin
• 金额: $ 4.66万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=752304
• 关键词: Ultra; Dense; Highly; Secure; Intelligent

The ever-evolving wireless technologies and their ongoing convergence with massive Internet-of-Things (IoT) ecosystem constitute the critical foundation of our future connected society, which is expected to interconnect everyone and everything ubiquitously and further bring 1,000-fold increase in data traffic. With the pervasive proliferation of connected devices, dramatically growing data traffic, and wide deployment of diverse services, our future networked society will rely exclusively on the next generation wireless networks, i.e. 5th-generation (5G) and beyond, and the technical capabilities in the provisioning of massive capacity/connectivity, highly secure handling of distributed data, and diverse IoT services and applications of people, industry and society.The fundamental goal of the proposed NSERC Discovery grant program is to develop transformative wireless technologies for 5G and beyond networks in enabling massive IoT communications through exploration of ultra-dense, highly secure wireless communications and orchestrated operation of 5G heterogeneous networks (HetNets). To achieve this goal, new 3-Dimensional transmission schemes in frequency, time and space domains will be investigated first to achieve highly efficient and ultra-dense communications. This concept will then be expanded as multi-dimensional transmission through joint design of massive multi-input multi-output (MIMO) and multi-domain non-orthogonal multiple access (NOMA) techniques. In achieving highly secure 5G/IoT communications, novel security enhancement techniques will be achieved through the proposed collaborative, autonomous and intelligent strategies, which feature disruptive security provisioning capabilities including comprehensive link attributes analysis, accurate authentication, and autonomous confidentiality enhancement and opportunistic risk minimization. Furthermore, novel objective-driven, application-specific and situation-aware orchestration of 5G HetNets for IoT service provisioning will be studied. The new concept of Software-Defined Orchestration (SDO) of 5G HetNets will be explored to achieve the capability of situational-aware resource sharing and security management in supporting the dynamic IoT traffic and diverse service requirements.The proposed leading-edge program is excepted to bring profound benefits to Canada through the creation of highly innovative, efficient and secure wireless communications techniques for 5G and beyond. Research findings on situation-aware orchestration of 5G and IoT networks will provide a unified approach that effectively tackles the emerging needs of connected industry and society. Trainees involved in the program will develop solid theoretical and practical skills with high industry relevance, which will further maximize the economic impact of the Discovery program.

不断发展的无线技术及其与庞大的物联网（IoT）生态系统的不断融合，构成了未来互联社会的重要基础，预计将无处不在地互联每个人、每件事，并进一步带来1000倍的数据流量增长。随着互联设备的普遍扩散、数据流量的急剧增长以及多样化服务的广泛部署，我们未来的网络社会将完全依赖下一代无线网络，即第五代（5G）及更高版本，以及无线网络的技术能力。提供海量容量/连接、高度安全地处理分布式数据以及人们、行业和社会的多样化物联网服务和应用。拟议的 NSERC 发现资助计划的基本目标是开发 5G 及其他网络的变革性无线技术，以实现大量的通过探索超密集、高度安全的无线通信和 5G 异构网络 (HetNet) 的协调运行来实现物联网通信。为了实现这一目标，将首先研究频率、时间和空间域的新3维传输方案，以实现高效和超密集的通信。然后，通过大规模多输入多输出（MIMO）和多域非正交多址（NOMA）技术的联合设计，这一概念将扩展为多维传输。在实现高度安全的5G/物联网通信时，将通过所提出的协作、自主和智能策略来实现新颖的安全增强技术，这些技术具有颠覆性的安全配置能力，包括全面的链路属性分析、准确的身份验证、自主的保密性增强和机会性风险最小化。此外，还将研究用于物联网服务供应的新型目标驱动、特定应用和情境感知的 5G HetNet 编排。将探索5G HetNets软件定义编排（SDO）的新概念，以实现态势感知资源共享和安全管理的能力，以支持动态物联网流量和多样化的服务需求。所提出的领先方案除外通过为 5G 及其他技术创建高度创新、高效和安全的无线通信技术，为加拿大带来深远的利益。关于 5G 和物联网网络态势感知编排的研究结果将提供一种统一的方法，有效解决互联行业和社会的新兴需求。参与该计划的学员将培养具有高度行业相关性的扎实理论和实践技能，这将进一步最大限度地发挥发现计划的经济影响。