Collaborative Research: SWIFT:Facilitating Spectrum Access by Noise Guessing

合作研究：SWIFT：通过噪声猜测促进频谱访问

• 批准号: 2128555
• 负责人: Muriel Medard
• 金额: $ 35万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2128555&HistoricalAwards=false
• 关键词: Collaborative; Research; SWIFT; Facilitating; Spectrum

Wireless technologies play an essential role in enabling growth and prosperity in societies by supporting business, government, science and education, defense, and health sectors. The boom of connected Internet of Things (IoT) nodes and 5G wireless communications will lead to a many-fold increase in wireless data traffic. This data storm and connectivity-in-everything model will result in spectrum scarcity and increased attack surfaces, thereby driving an urgent need for wireless security and dynamically shared spectrum access technologies. To facilitate the successful deployment of such technologies, the overarching goal of this project is to overcome fundamental challenges in spectrum utilization and sharing, energy efficiency, and security through cross-layer optimization of hardware, algorithms, and systems. Tightly integrating research with education and outreach plans, the project will train a next-generation diverse workforce in state-of-the-art wireless technologies.This research program holistically integrates multiple areas, including information and coding theory, wireless communication and networking, security, and hardware architectures to enable efficient and robust wireless spectrum utilization. A key innovation resides in separately managing noise effects and interference effects so that stations employing different codes and rates may collide. Specific research questions being addressed include (1) achieving successful simultaneous use of spectrum by allowing collisions without coordinating coding schemes in the MAC layer; (2) designing energy-efficient and code-agnostic decoder algorithms and hardware architectures exploiting assumed channel noise while incorporating interference cancellation techniques; (3) exploring new physical-layer approaches to prevent, mitigate, and detect attacks on energy- and spectrally-efficient wireless communications. The theoretical insights will be verified via simulations and experiments with practical system implementations, leveraging custom-designed chips and software-defined radio platforms. Broader impacts of this research include (1) advancing the frontiers of research in secure spectrum utilization and coexistence for future dynamically-shared spectrum access scenarios with broader impact on healthcare, manufacturing, and education businesses; (2) developing software-defined radio labs for undergraduate courses; (3) fostering K-12 students' interests in STEM subjects by organizing a “5G Day” event focusing on the future of wireless communications; (4) increasing participation of under-represented and undergraduate students in research enterprise by establishing internships and research positions; and (5) organizing interdisciplinary mini boot camps on wireless spectrum sensing and security technologies.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.

无线技术通过支持商业、政府、科学和教育、国防和卫生部门，在促进社会增长和繁荣方面发挥着重要作用。 The boom of connected Internet of Things (IoT) nodes and 5G wireless communications will lead to a many-fold increase in wireless data traffic.这种数据风暴和万物互联模型将导致频谱稀缺和攻击面增加，从而推动对无线安全和动态共享频谱接入技术的迫切需求。为了促进此类技术的成功部署，该项目的总体目标是通过硬件、算法和系统的跨层优化，克服频谱利用和共享、能源效率和安全方面的基本挑战。该项目将研究与教育和推广计划紧密结合起来，将培养掌握最先进无线技术的下一代多元化劳动力。该研究项目全面整合了多个领域，包括信息和编码理论、无线通信和网络、安全和硬件架构，以实现高效和稳健的无线频谱利用。一项关键的创新在于单独管理噪声效应和干扰效应，以便采用不同代码和速率的站可能发生冲突。正在解决的具体研究问题包括（1）通过允许冲突而无需协调MAC层的编码方案来实现频谱的成功同时使用； (2) 设计节能且与代码无关的解码器算法和硬件架构，利用假定的信道噪声，同时结合干扰消除技术； (3) 探索新的物理层方法来预防、减轻和检测对能源和频谱高效无线通信的攻击。理论见解将通过实际系统实现的模拟和实验、利用定制设计的芯片和软件定义的无线电平台来验证。这项研究的更广泛影响包括（1）推进安全频谱利用和共存方面的研究前沿，以实现未来动态共享频谱接入场景，对医疗保健、制造和教育业务产生更广泛的影响； (2) developing software-defined radio labs for undergraduate courses; (3) fostering K-12 students' interests in STEM subjects by organizing a “5G Day” event focusing on the future of wireless communications; (4) 通过设立实习和研究职位，增加代表性不足的学生和本科生对研究企业的参与； (5) 组织无线频谱传感和安全技术跨学科迷你训练营。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

GRAND-EDGE: A Universal, Jamming-resilient Algorithm with Error-and-Erasure Decoding

GRAND-EDGE：一种具有错误和擦除解码功能的通用抗干扰算法

• 发表时间: 2023
• 期刊: IEEE International Conference on Communications
• 作者: Ercan, Furkan;Galligan, Kevin;Duffy, Ken R.;Medard, Muriel;Starobinski, David;Yazicigil, Rabia Tugce
• 通讯作者: Yazicigil, Rabia Tugce