Collaborative Research: NSF-AoF: CIF: Small: AI-assisted Waveform and Beamforming Design for Integrated Sensing and Communication

合作研究：NSF-AoF：CIF：小型：用于集成传感和通信的人工智能辅助波形和波束成形设计

• 批准号: 2326621
• 负责人: Gayan Aruma Baduge
• 金额: $ 33.65万
• 依托单位: Southern Illinois University at Carbondale
• 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: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2326621&HistoricalAwards=false
• 关键词: Collaborative; Research; NSF; AoF; CIF

Communications and sensing have traditionally operated independently, utilizing separate frequency bands and hardware. The integration of these technologies, known as integrated sensing and communication (ISAC), aims to enhance spectral, energy, and cost efficiency. ISAC designs find applications in wireless communications, localization, autonomous vehicles, area imaging, environmental monitoring, and more. However, achieving optimal ISAC designs solely through analytical approaches faces challenges due to performance trade-offs and complexity. To overcome these hurdles, this project employs artificial intelligence (AI) to design such solutions and establish theoretical foundations for ISAC. A unique European collaboration (Finland) unites diverse research expertise, fostering economic, societal, and research impacts. Knowledge transfer occurs through dissemination, curriculum development, student exchanges, and industry collaborations. The project also engages with farmers' markets to showcase ISAC's potential to benefit local agriculture. This project aims to explore the optimal integration of sensing and communications through AI-assisted ISAC designs. The research consists of three interconnected thrusts. The first thrust involves designing unified waveforms, constellations, and beamforming techniques for both sensing and communications. Additionally, AI-based channel learning and generation methods will be developed. The second thrust focuses on implementing ISAC designs using large aperture arrays. The project aims to establish the theoretical foundations of the extended near-field of ISAC channels with electrically large aperture arrays and leverage the unique channel characteristics to optimize integration gains. The third thrust is dedicated to real-time implementation and evaluation of the AI-assisted ISAC designs and algorithms, considering factors such as performance, robustness, and advancement metrics.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.

传统上，通信和传感是独立运行的，利用单独的频带和硬件。这些技术的集成（称为综合传感和通信（ISAC））旨在提高光谱，能源和成本效率。 ISAC设计在无线通信，本地化，自动驾驶汽车，区域成像，环境监测等方面找到了应用程序。但是，仅通过分析方法来实现最佳ISAC设计，这是由于性能权衡和复杂性而面临的挑战。为了克服这些障碍，该项目采用人工智能（AI）来设计此类解决方案并为ISAC建立理论基础。独特的欧洲合作（芬兰）将各种各样的研究专业知识团结起来，促进了经济，社会和研究的影响。知识转移是通过传播，课程发展，学生交流和行业合作进行的。该项目还与农贸市场互动，以展示ISAC受益于当地农业的潜力。该项目旨在通过AI辅助ISAC设计探索传感和通信的最佳集成。该研究由三个相互连接的推力组成。第一个推力涉及设计统一的波形，星座和光束成型技术，以进行感应和通信。此外，将开发基于AI的渠道学习和生成方法。第二个推力重点是使用大光圈阵列实施ISAC设计。该项目旨在建立具有电孔径阵列的ISAC通道的近场近场的理论基础，并利用独特的通道特征来优化集成增长。第三个力量致力于对AI辅助ISAC设计和算法的实时实施和评估，考虑了诸如绩效，鲁棒性和进步指标之类的因素。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识功能和广泛影响的评估来评估Criteria的智力优点和广泛的CRITERIA。