Collaborative Research:CISE-MSI:DP:CNS:Adaptive Multi-Tiered, Multi-Task Base Station Infrastructure For Communication-Denied Environments

合作研究：CISE-MSI:DP:CNS：用于通信被拒绝环境的自适应多层、多任务基站基础设施

• 批准号: 2318725
• 负责人: Mehdi Sookhak
• 金额: $ 35.24万
• 依托单位: Texas A&M University Corpus Christi
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2318725&HistoricalAwards=false
• 关键词: Collaborative; Research; CISE; MSI; DP

Nowadays, cellular networks have emerged as the preeminent communication technology, primarily due to their profound impact on modern society. 5G and beyond offer distinctive features, such as high transmission rate, ultra-reliable low-latency communication, massive machine-type communication, and edge and cloud computing. Nevertheless, the performance of these networks can be susceptible to fluctuations in demand or unanticipated physical damage to the underlying infrastructure - i.e., terrestrial base stations (TBSs) - through natural or man-made disasters. Recent advancements in artificial intelligence, control systems, and autonomy within the realm of cyber-physical systems have facilitated the utilization of autonomous unmanned aerial vehicles (UAVs) and autonomous vehicles to establish temporary cellular networks. These networks rely on flying base stations (FBSs) or vehicular base stations (VBS) in large-scale disasters or events where TBSs are either unavailable or unable to provide the required coverage and quality of service (QoS). In addition to their communication services, these autonomous vehicles can offer diverse functionalities, including rapid mapping of expansive areas, operations in hazardous zones, emergency deliveries, and search-and-rescue missions. However, despite the conceptual, scientific, and engineering advancements achieved thus far, the FBS and VBS infrastructures have not yet reached their full maturity.The principal objective of this project is to develop an adaptive, multi-objective, multitier, and multi-task infrastructure consisting of aerial and vehicular base stations (MTBS). The aim is to improve the coverage and QoS of cellular systems while simultaneously facilitating various services, including situational awareness, package delivery, and target tracking, particularly in scenarios where the number of available vehicles is limited. The research and education agenda is framed around three thrusts: (1) performing fundamental research aimed at developing models and algorithmic tools for developing and implementing an adaptive, multi-tiered collection of UAVs and VBSs, to provide communication infrastructure in challenging environments, such as in a disaster zone; (2) developing trajectory-planning models in MTBS systems to deliver a realistic solution for effectively utilizing the base stations in critical missions wherein a small number of vehicles are available; and (3) evaluating the performance of the proposed models using testbed environments. The testbed and open-source code packages developed in this project will allow educators and field professionals to deploy them in both learning and training environments.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.

如今，蜂窝网络已成为杰出的通信技术，这主要是由于它们对现代社会的深远影响。 5G及以后提供独特的功能，例如高传输速率，超级可靠的低延迟通信，大规模的机器型通信以及边缘和云计算。然而，这些网络的性能可能会因需求波动或对基础设施的意外物理损害（即陆地基站（TBS）（TBSS））而受到自然或人为灾难的影响。网络物理系统领域内人工智能，控制系统和自主权的最新进展促进了自主无人驾驶汽车（UAV）和自动驾驶汽车建立临时蜂窝网络的利用。这些网络依靠大规模灾难或TBSS无法提供所需的覆盖范围和服务质量（QoS）的大规模灾难或事件中的飞行基站（FBSS）或车辆基站（VBS）。除了通信服务外，这些自动驾驶汽车还可以提供各种功能，包括快速映射广阔的区域，危险区域的运营，紧急交付和搜索搜索任务。然而，尽管到目前为止取得了概念，科学和工程的进步，但FBS和VBS基础设施尚未达到其全部成熟。目的是改善蜂窝系统的覆盖范围和QoS，同时促进各种服务，包括情境意识，包装交付和目标跟踪，尤其是在可用车辆数量有限的情况下。研究和教育议程围绕着三个推力：（1）进行基础研究，旨在开发模型和算法工具，用于开发和实施自适应，多层的UAV和VBS集合，以在灾难区等挑战性环境中提供沟通基础设施； （2）在MTBS系统中开发轨迹规划模型，以提供现实的解决方案，以有效利用基本站的关键任务中的基本站，其中有少量车辆可用； （3）使用测试床环境评估提出的模型的性能。该项目中开发的测试台和开源代码软件包将使教育工作者和现场专业人员能够在学习和培训环境中部署它们。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评估评估标准的评估值得支持的。