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: 2326622
• 负责人: Mojtaba Vaezi
• 金额: $ 25.98万
• 依托单位: Villanova 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: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2326622&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.

通信和传感传统上独立运行，利用不同的频段和硬件。这些技术的集成被称为集成传感和通信 (ISAC)，旨在提高频谱、能源和成本效率。 ISAC 设计可应用于无线通信、定位、自动驾驶车辆、区域成像、环境监测等领域。然而，由于性能权衡和复杂性，仅通过分析方法实现最佳 ISAC 设计面临着挑战。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 奠定理论基础。独特的欧洲合作（芬兰）汇集了不同的研究专业知识，促进了经济、社会和研究影响。知识转移通过传播、课程开发、学生交流和行业合作来实现。该项目还与农贸市场合作，展示 ISAC 造福当地农业的潜力。该项目旨在通过人工智能辅助的 ISAC 设计探索传感和通信的最佳集成。该研究由三个相互关联的主旨组成。第一个推动力涉及设计用于传感和通信的统一波形、星座和波束形成技术。此外，还将开发基于人工智能的通道学习和生成方法。第二个重点是使用大孔径阵列实现 ISAC 设计。该项目旨在建立具有电大孔径阵列的ISAC通道扩展近场的理论基础，并利用独特的通道特性来优化集成增益。第三个重点是致力于人工智能辅助 ISAC 设计和算法的实时实施和评估，考虑性能、鲁棒性和先进性指标等因素。该奖项反映了 NSF 的法定使命，并被认为值得通过使用评估来支持基金会的智力价值和更广泛的影响审查标准。