CNS Core: Small: Network Wide Sensing by Leveraging Cellular Communication Networks

CNS 核心：小型：利用蜂窝通信网络进行全网络传感

• 批准号: 2343469
• 负责人: Husheng Li
• 金额: $ 45.97万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-03-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2343469&HistoricalAwards=false
• 关键词: CNS; Core; Small; Network; Wide

5G communication networks are densely deployed to provide a higher data rate and wider coverage. The high-frequency bands used in 5G systems are more susceptible to the environment, such as rain fade, blockage, reflections, and transceiver displacement due to wind. The sensitivity of communication signals to the environment could benefit the task of sensing: the impact of the environment on the communication signal is also delivered to the communication receiver, from which the information of the environment can be inferred. When all the environmental information carried by the communication signal can be gleaned by base stations or user equipment, the communication network can infer the information and thus monitor the environment. The 5G networks further enhance the capability of sensing that cannot be achieved by 4G cellular networks, due to the features of large bandwidth, wide-area coverage, ultra-dense deployment, massive antennas, and network slicing. The proposed research serves as a platform for wide-area sensing, with a marginal cost added to existing communication infrastructure, which benefits various applications, such as traffic surveillance, weather monitoring, civil engineering, et al.Communication signals illuminate various targets and regions, besides conveying information to receivers. It saves frequency bandwidth and transmit power to leverage the communication signal for sensing. To this end, the information-theoretic trade-off between communications and sensing is identified, which provides performance bounds. Then, sensing algorithms are designed, including environment imaging and weather monitoring (including wind gauge and precipitation monitoring), based on the characteristic of communication signals. By incorporating various practical concerns, sensing protocols are devised. They mainly consist of the mechanism of signaling and the software-defined sensing using the network function virtualization, network slicing, and multiaccess edge computing in 5G (or beyond) networks. Finally, the proposed algorithms of sensing, signaling, and computing are evaluated in both hardware and software testbeds.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

5G通信网络密集地部署以提供更高的数据速率和更广泛的覆盖范围。 5G系统中使用的高频带更容易受到环境的影响，例如由于风而导致的雨水褪色，阻塞，反射和收发器位移。通信信号对环境的敏感性可能会受益：环境对通信信号的影响也将传递给通信接收器，从中可以从中推断出环境的信息。当通信信号所携带的所有环境信息都可以被基站或用户设备收集时，通信网络可以推断信息，从而监视环境。 5G网络进一步增强了4G蜂窝网络无法实现的传感能力，这是由于较大的带宽，广阔区域覆盖，超密集的部署，大量的天线和网络切片的特征。拟议的研究是用于广泛感应的平台，而边际成本增加了现有的通信基础设施，这些沟通基础设施受益于各种应用程序，例如交通监视，天气监测，土木工程，土木工程等。交流信号照明各种目标和地区，除了将信息传达给接收器外。它节省了频率带宽并传输功率以利用传感传感信号。为此，确定了通信和传感之间的信息理论权衡，从而提供了性能范围。然后，根据通信信号的特征，设计了传感算法，包括环境成像和天气监测（包括风量表和降水监测）。通过结合各种实际问题，可以设计传感协议。它们主要由信号传导的机制和使用网络函数虚拟化，网络切片和5G（或以后）网络中的多频率边缘计算的机制组成。最后，在硬件和软件测试台上评估了提出的感应，信号和计算算法。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响评估标准，认为值得通过评估来获得支持。