Collaborative Research:SWIFT:Ultra Wideband Flexible MIMO Radios for Energy Efficient Secure Spectrum Sharing

合作研究：SWIFT：超宽带灵活 MIMO 无线电实现节能安全频谱共享

• 批准号: 2128628
• 负责人: John Volakis
• 金额: $ 42.5万
• 依托单位: Florida International University
• 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 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2128628&HistoricalAwards=false
• 关键词: Collaborative; Research; SWIFT; Ultra; Wideband

Worldwide growth in wireless links, navigation, automation, Internet of Things (IoT), and mobile healthcare has challenged spectrum access. In parallel, we are witnessing rapid advances in augmented reality/virtual reality (AR/VR), autonomous driving and vehicle-to-vehicle communications (V2V). Further, increased adaptation of unmanned aerial vehicles (UAV) may require large swaths of bandwidth and high data rates. Indeed, the diversity of radio spectrum utilization is quickly growing. However, existing wireless networks may no longer be able to keep pace with these technologies, implying a need for new rhythms and targeted innovations. Concurrently, security protocols must be adapted to avoid eavesdropping and man-in-the-middle (MitM) attacks. Coexistence of active and passive spectrum utilization is another challenge. To address the aforementioned challenges, and to circumvent radio spectrum scarcity, this research brings forward innovations and features to significantly advance next generation wireless networks. Among them: 1) Increased throughput using robust spectrum sensing and slicing of legacy frequency bands by identifying gray and white spaces/gaps across the available electromagnetic spectrum; 2) Frequency independent and high isolation antenna feeds and RF cancellers to enable spectrum co-existence; 3) Wideband autonomous multiple-input-multiple output (MIMO) transceivers using Flex Radio architectures to maximize overall spectral efficiency; 4) Significant hardware reduction via multiplexing; and 5) Resilience against Man-in-the-Middle attacks via artificial intelligence (AI) techniques. This project will also foster workforce development in the rapidly growing area of wireless engineering. Curriculum enhancements are proposed to integrate new technologies on spectrum awareness, wireless security, and cross layer RF transceiver architectures. Further, new degrees and new curricula in wireless and IoT technologies will be leveraged to promote STEM outreach programs and coordinate outreach activities. The latter will be aimed at recruiting larger cohorts of undergraduates and K-12 students from the local Miami-Dade and Broward counties to be trained in wireless engineering. Examples of outreach programs to be leveraged include Engineers on Wheels, Engineering Expo, ENLACE (Engaging Latino Communities for Education), and the Miami PREP (Positive Youth Preparedness) programs. The proposed research aims to develop next generation flexible and secure wireless networking with adaptive RF front ends and back-end cross-layer algorithms that enable spectrum efficiency and high throughput via novel relay architectures, all with end user protection in mind. Namely, a new class of low cost and low power secure MIMO transceivers with 100 dB transmit/receive isolation are proposed along with Flexible Radio architectures. The following innovations are proposed: 1) AI-based effective spectrum utilization and/or coexistence, 2) Innovative transmitter and receiver technologies through cross-layer design, and 3) Improved security by detecting Man-in-the-Middle attacks and other eavesdroppers. Notably, the transformative nature of the proposed research stems from the introduced novelties to overcome challenges in developing low-power and low-cost Flexible Radio architectures and RF electronics with secure data relays to provide resilience for Man-in-the-Middle attacks. To accomplish the proposed goals, a strong background is required in the following areas: RF front/back-end hardware, mathematical network modeling, propagation, optimization, control, queuing, stochastic analysis, and legacy system operation integrated through the following thrusts: 1) RF reconfigurability and spectrum aggregation to support users with decoupled PHY/MAC protocols, 2) Adaptive FlexRadio wireless networks with increased throughput and protection using high performance PHY/MAC layer algorithm, 3) RF self-interference cancellation for spectrum co-existence, and 4) AI-based models for security and privacy.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.

全球范围内无线链路、导航、自动化、物联网（IoT）和移动的医疗保健的增长对频谱接入提出了挑战。与此同时，我们正在见证增强现实/虚拟现实（AR/VR）、自动驾驶和车对车通信（V2 V）的快速发展。 此外，无人驾驶飞行器（UAV）的增加的适应性可能需要大带宽和高数据速率。事实上，无线电频谱利用的多样性正在迅速增长。然而，现有的无线网络可能无法跟上这些技术的步伐，这意味着需要新的节奏和有针对性的创新。同时，安全协议必须适应，以避免窃听和中间人（MitM）攻击。主动和被动频谱利用的共存是另一个挑战。 为了解决上述挑战并避免无线电频谱稀缺，这项研究提出了创新和功能，以显着推进下一代无线网络。其中：1）通过识别可用电磁频谱上的灰色和白色空间/间隙，使用稳健的频谱感测和传统频带的切片来增加吞吐量; 2）频率无关和高隔离天线馈电和RF消除器，以实现频谱共存; 3）使用Flex Radio架构的宽带自主多输入多输出（MIMO）收发器，以最大化总体频谱效率; 4）通过多路复用显著减少硬件;以及5）通过人工智能（AI）技术抵抗中间人攻击。该项目还将促进快速发展的无线工程领域的劳动力发展。课程改进建议整合频谱感知，无线安全和跨层射频收发器架构的新技术。此外，无线和物联网技术的新学位和新课程将被用来促进STEM推广计划并协调推广活动。后者的目的是从当地的迈阿密戴德县和布劳沃德县招募更多的本科生和K-12学生，接受无线工程培训。要利用的外联方案的例子包括车轮上的工程师，工程博览会，ENLACE（从事拉丁裔社区教育），和迈阿密PREP（积极的青年准备）方案。拟议的研究旨在开发下一代灵活安全的无线网络，采用自适应RF前端和后端跨层算法，通过新型中继架构实现频谱效率和高吞吐量，所有这些都考虑到最终用户保护。也就是说，沿着灵活无线电架构提出了具有100 dB发射/接收隔离度的一类新的低成本和低功率安全MIMO收发器。提出了以下创新：1）基于人工智能的有效频谱利用和/或共存，2）通过跨层设计的创新发射机和接收机技术，以及3）通过检测中间人攻击和其他窃听者来提高安全性。值得注意的是，拟议研究的变革性质源于引入的新颖性，以克服开发低功耗和低成本灵活无线电架构和具有安全数据中继的RF电子器件的挑战，从而为中间人攻击提供弹性。为了实现所提出的目标，需要在以下领域具有强大的背景知识：RF前端/后端硬件、数学网络建模、传播、优化、控制、排队、随机分析以及通过以下重点集成的传统系统操作：1）RF可重配置性和频谱聚合以支持具有解耦PHY/MAC协议的用户，2）具有增加的吞吐量和使用高性能PHY/MAC层算法的保护的自适应FlexRadio无线网络，3）用于频谱共存的RF自干扰消除，4）基于人工智能的安全和隐私模型。该奖项反映了NSF的法定使命，并通过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，被认为值得支持。