Collaborative Research: CISE-MSI: RCBP-RF: CNS: Enabling Secured and Artificial Intelligence Assisted Cell-Free Communications

合作研究：CISE-MSI：RCBP-RF：CNS：实现安全和人工智能辅助的无细胞通信

• 批准号: 2219658
• 负责人: Kamrul Hasan
• 金额: $ 15.74万
• 依托单位: Tennessee State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-15 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2219658&HistoricalAwards=false
• 关键词: Collaborative; Research; CISE; MSI; RCBP

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).Although fifth-generation (5G) new radio (NR) is being extensively implemented for multi-modal use-cases in cellular communications, including massive internet of things and ultra-reliable low-latency communications, new use cases have emerged as socio-economic needs continue to evolve, and 5G NR is unable to accommodate them. The cell-centric paradigm of wireless networks, constrained by inter-cell interference, is transitioning toward a ubiquitous cell-free infrastructure that is more user-centric and interference-resistant while providing users with macro-diversity. Low-complexity, high-throughput, ultra-reliable, and low-latency applications make the cell-free architecture an essential element of the next generation of communication systems. The aerial communication network has emerged as a promising topology for beyond 5G communications, where aerial communication nodes, e.g., drones, etc., will be served from the conventional base stations or terrestrial access points in a cellular or cell-free architecture, respectively, in conjunction with terrestrial users. This CISE-MSI project will investigate the potential, feasibility, infrastructure, and security of the cell-free aerial terrestrial integrated network (CF-ATIN) for the next generation of communication systems. The project will also develop the educational and recruiting capacity to train engineers from historically underrepresented engineering groups.This project will conduct a fundamental study on CF-ATIN, address several challenges in secured communication protocol design, and explore how to integrate advanced techniques in the network to enhance system performance while assuring low computational complexity. In particular, this project will (1) address physical layer signal processing challenges inherent to CF-ATIN and develop artificial intelligence-driven solution approaches, (2) explore how cell-free networks have synergic integration with other emerging applications for the next generation of wireless communication systems, such as free-space optics, (3) conduct data sanitization for secured message transmissions and develop trust evaluation algorithm, and (4) develop a prototype for CF-ATIN to implement the designed innovative algorithms.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.

该奖项全部或部分由2021年美国救援计划法案资助尽管第五代（5G）新无线电（NR）正在蜂窝通信中被广泛实施用于多模式用例，包括大规模物联网和超可靠的低延迟通信，但随着社会经济需求的不断发展，新的用例已经出现，而5G NR无法容纳它们。受小区间干扰约束的无线网络的以小区为中心的范例正在向无处不在的无小区基础设施转变，该无小区基础设施更加以用户为中心并且抗干扰，同时为用户提供宏分集。低复杂性、高吞吐量、超可靠和低延迟的应用使无信元架构成为下一代通信系统的基本要素。空中通信网络已经成为超5G通信的有前途的拓扑，其中空中通信节点，例如，无人机等等，将分别从蜂窝或无蜂窝体系结构中的传统基站或地面接入点与地面用户一起提供服务。该CISE-MSI项目将调查下一代通信系统的无蜂窝空中地面综合网络（CF-ATIN）的潜力，可行性，基础设施和安全性。该项目将对CF-ATIN进行基础研究，解决安全通信协议设计中的几个挑战，并探索如何在网络中集成先进技术，以提高系统性能，同时确保低计算复杂度。特别是，该项目将（1）解决CF-ATIN固有的物理层信号处理挑战，并开发人工智能驱动的解决方案方法，（2）探索无细胞网络如何与下一代无线通信系统的其他新兴应用（如自由空间光学）协同集成，（3）对安全消息传输进行数据净化，并开发信任评估算法，（4）开发CF-1的原型系统，该奖项反映了NSF的法定使命，并被认为是值得支持的，使用基金会的知识价值和更广泛的影响审查标准进行评估。