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，国防和卫生部门来实现社会增长和繁荣的重要作用。连接的物联网（IoT）节点和5G无线通信的繁荣将导致无线数据流量大大增加。这种数据风暴和各种关系模型将导致频谱稀缺和攻击表面增加，从而迫切需要无线安全性和动态共享频谱访问技术。为了支持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来克服频谱利用和共享，能源效率和安全性的基本挑战。该项目将研究与教育和外展计划紧密整合，将在最先进的无线技术中培训下一代潜水员劳动力。该研究计划整体整合了多个领域，包括信息和编码理论，无线通信和网络，安全性，安全性以及硬件体系结构，以启用有效的和鲁棒的无线频谱。一个关键的创新属于分别管理噪声效应和干扰效应，因此使用不同代码和费率的站可能会发生碰撞。要解决的具体研究问题包括（1）通过允许碰撞而无需协调MAC层中的编码方案来成功实现频谱的成功； （2）设计节能和代码不可义的解码器算法和硬件体系结构，以利用假定的通道噪声，同时结合干涉取消技术； （3）探索新的物理层方法，以防止，减轻和检测对能量和频谱效率无线通信的攻击。理论见解将通过模拟和实验实现实现，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）在安全频谱利用方面推进研究的前沿，并共存将来动态共享的频谱访问方案，并对医疗保健，制造业和教育业务产生更大的影响； （2）开发用于本科课程的软件定义的无线电实验室； （3）通过组织“ 5G日”活动，重点关注无线通信的未来，从而促进K-12学生对STEM受试者的兴趣； （4）通过建立国际职业和研究职位来增加代表性不足和本科生在研究企业中的参与； （5）在无线频谱敏感性和安全技术上组织跨学科的迷你新兵训练营。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响审查标准，认为值得通过评估来获得支持。

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