Advanced wireless communications for ultra-reliable, green, and secure Internet of Things

先进的无线通信，实现超可靠、绿色和安全的物联网

• 批准号: RGPIN-2019-06868
• 负责人: Yang, HongChuan
• 金额: $ 3.35万
• 依托单位: University of Victoria
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=739155
• 关键词: Advanced; wireless; communications; ultra; reliable

The success of the Internet of Things (IoT) relies on the efficient provision of wireless connectivity to numerous machine-type devices. Future wireless systems must effectively and efficiently support the machine-type communications (MTC) with diverse quality of service requirements. The long-term goal of the proposed five-year research program is to develop an integrated wireless transmission solution for future IoT that can simultaneously i) support ultra-reliable low latency transmission for mission critical MTC; ii) connect massive MTC terminals with extremely high energy efficiency; and iii) achieve highly-secure physical data transmission. We adopt a novel data oriented approach in the design and analysis of advanced wireless transmission technologies. Unlike the conventional channel-oriented approach, we directly optimize the transmission strategies for individual transmission sessions, considering both traffic characteristics and instantaneous operating environment. The design from this extremely original approach can effectively satisfy the stringent performance and efficiency requirements of future IoT applications. This data-oriented approach will also facilitate the integration of different transmission technologies into a common physical transmission infrastructure. Following the innovative data-oriented approach, we carry out the proposed research in three major steps to advance towards our long-term goal. In the first step, we develop theoretical performance limits for individual data transmission sessions in terms of reliability, energy efficiency, and security. This step will involve the definition of suitable data-oriented performance metrics and extensive statistical analysis for various transmission scenarios. In the second step, we will design practical transmission strategies to approach theoretical performance limits. We will apply various advanced optimization and machine learning tools to arrive at the most efficient transmission strategy for given transmission scenarios under practical implementation constraints. In the final step, we will examine the integration of newly developed transmission technologies into existing/emerging wireless systems. The successful completion of the proposed research program will have a ground-breaking impact on future wireless communications and greatly facilitate the success of future IoT. The data-oriented approach will generate profound new insights to wireless system design and engender cutting-edge transmission strategies. The resulting transmission solution together with newly-enabled IoT applications will bring huge social and economic benefit to Canada. The highly qualified personnel (HQP) trained through this program will possess essential technical skills for the design and analysis of advanced wireless transmission technologies, and as such, can make significant contribution to the Canadian information and communication technology (ICT) sector.

物联网 (IoT) 的成功依赖于为众多机器类型设备高效提供无线连接。未来的无线系统必须有效且高效地支持具有不同服务质量要求的机器类型通信（MTC）。拟议的五年研究计划的长期目标是为未来物联网开发集成无线传输解决方案，该解决方案可以同时i）支持关键任务MTC的超可靠低延迟传输； ii) 连接海量MTC终端，能效极高； iii) 实现高度安全的物理数据传输。 我们采用新颖的面向数据的方法来设计和分析先进的无线传输技术。与传统的面向通道的方法不同，我们考虑流量特征和瞬时操作环境，直接优化各个传输会话的传输策略。这种极其原创的方法的设计可以有效满足未来物联网应用严格的性能和效率要求。这种面向数据的方法还将促进将不同的传输技术集成到通用的物理传输基础设施中。 遵循创新的数据导向方法，我们分三个主要步骤进行拟议的研究，以推进我们的长期目标。第一步，我们在可靠性、能源效率和安全性方面制定单个数据传输会话的理论性能限制。此步骤将涉及定义合适的面向数据的性能指标以及针对各种传输场景的广泛统计分析。第二步，我们将设计实用的传输策略以接近理论性能极限。我们将应用各种先进的优化和机器学习工具，在实际实施限制下针对给定的传输场景得出最有效的传输策略。在最后一步中，我们将研究新开发的传输技术与现有/新兴无线系统的集成。 拟议研究计划的成功完成将对未来无线通信产生突破性影响，并极大促进未来物联网的成功。以数据为导向的方法将为无线系统设计带来深刻的新见解，并产生尖端的传输策略。由此产生的传输解决方案以及新启用的物联网应用将为加拿大带来巨大的社会和经济效益。通过该计划培训的高素质人才（HQP）将具备设计和分析先进无线传输技术的基本技术技能，因此可以为加拿大信息和通信技术（ICT）行业做出重大贡献。