Collaborative Research: SWIFT: LARGE: MAC-on-MAC: A Spectrum Orchestrating Control Plane for Coexisting Wireless Systems

合作研究：SWIFT：LARGE：MAC-on-MAC：共存无线系统的频谱编排控制平面

• 批准号: 2030122
• 负责人: Janise McNair
• 金额: $ 50万
• 依托单位: University of Florida
• 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: 2021-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2030122&HistoricalAwards=false
• 关键词: Collaborative; Research; SWIFT; LARGE; MAC

Wireless systems with different radio access technologies (RATs) are becoming packed tightly in the space of radio spectrum. The carrier frequency and channel bandwidth of these systems, however, are drastically different across the spectrum domain, e.g., the IEEE 802.11 family that operates at 900 MHz, 2.4/5 GHz, and 60 GHz (mm-wave) bands, the 3GPP 5G family that spans 6-100 GHz, and more. Therefore, radio spectrum, which has long been identified as a scarce resource, will be more crowded and diversified than ever. Swift and effective spectrum sharing requires enhanced capability and increased intelligence at the wireless devices, from innovative transmitter and receiver technologies at the physical layer, to multi-band spectrum sensing across physical and MAC layer; from mapping spectrum slices for each access request, to radical modification of medium access control (MAC) protocols. Altogether, there is a need to support a myriad of heterogeneous devices that run diverse communication standards over different frequency bands to achieve efficient spectrum and energy utilization in such huge, dynamic and disparate systems.This project mitigates the incoherent and disassociated frequency bands of the multi-RAT coexisting environments by exploiting the potential of cross-layer design from the circuits of transmitter and receiver, to the MAC layer with an innovative MAC-on-MAC spectrum control plane. This project has four major thrusts: (i) design of innovative transmitter and receiver techniques for energy-efficient multi-band spectrum monitoring, by using custom single-chip ultra-broadband (1-8 GHz) bio-inspired spectrum sensors to create a multi-band sensing solution that includes both sub-6 GHz and emerging mm-wave bands; (ii) methods to acquire complete spectrum occupancy information with a limited number of measurements from the proposed multi-band spectrum sensing circuits by exploiting matrix completion for low-cost, accurate and scalable monitoring through a learning-based sequential scheme; (iii) algorithms of obtaining a sorted ranking of paths that map a data flow to a range of spectrum slips by modeling spectrum-flow-RAT domains, finding the set of unoccupied spectrum slices, sorting out multiple recommendations from neighboring SAP control entities; (iv) creating MAC-Flow, a flow based network protocol that is capable of handling networking demands from both upper and lower layer, for both traditional user frames and for MAC-on-MAC controller processed frames for system-level performance evaluation. A holistic system-level integration of advances in spectrum detection, sensing, mapping with data flows, and implementation of MAC protocols is critical to improving spectrum utilization and user experience in coexisting wireless systems.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.

采用不同无线电接入技术 (RAT) 的无线系统正在无线电频谱空间中变得越来越紧密。然而，这些系统的载波频率和信道带宽在整个频谱域中截然不同，例如，工作在 900 MHz、2.4/5 GHz 和 60 GHz（毫米波）频段的 IEEE 802.11 系列、3GPP 5G系列涵盖 6-100 GHz 等。因此，长期以来被视为稀缺资源的无线电频谱将比以往更加拥挤和多样化。快速有效的频谱共享需要无线设备的增强功能和智能，从物理层的创新发射机和接收机技术，到跨物理层和 MAC 层的多频段频谱感知；从为每个访问请求映射频谱切片，到彻底修改媒体访问控制 (MAC) 协议。总而言之，需要支持在不同频段上运行不同通信标准的无数异构设备，以在如此庞大、动态和不同的系统中实现高效的频谱和能源利用。该项目减轻了多设备的不相干和分离的频段。 -RAT 共存环境，利用创新的 MAC-on-MAC 频谱控制平面，利用从发射机和接收机电路到 MAC 层的跨层设计潜力。该项目有四个主要重点：(i) 设计创新的发射器和接收器技术，通过使用定制单芯片超宽带 (1-8 GHz) 仿生频谱传感器来创建一个用于节能多频段频谱监测的创新发射器和接收器技术。多频段传感解决方案，包括 6 GHz 以下频段和新兴毫米波段； (ii) 通过基于学习的顺序方案利用矩阵补全实现低成本、准确和可扩展的监测，利用所提出的多频段频谱感测电路的有限数量的测量来获取完整频谱占用信息的方法； (iii)通过对频谱-流-RAT域进行建模、找到未占用的频谱片集、从相邻SAP控制实体中整理出多个建议来获得将数据流映射到一系列频谱片的路径的排序排名的算法； (iv) 创建 MAC-Flow，这是一种基于流的网络协议，能够处理来自上层和下层的网络需求，适用于传统用户帧和 MAC-on-MAC 控制器处理的帧，以进行系统级性能评估。频谱检测、传感、数据流映射和 MAC 协议实施方面的进步的整体系统级集成对于提高共存无线系统中的频谱利用率和用户体验至关重要。该奖项反映了 NSF 的法定使命，并被认为是值得的通过使用基金会的智力优势和更广泛的影响审查标准进行评估来提供支持。

项目成果

Poster Abstract: O-RAN Signaling Optimizations for Improved IoT Handover Performance in 5G Networks

海报摘要：O-RAN 信令优化可提高 5G 网络中的物联网切换性能

• DOI: 10.1145/3576842.3589165
• 发表时间: 2023
• 期刊: IoTDI '23: Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation
• 作者: Riccio, Eduardo Lichtenfels;Mangipudi, Pavan Kumar;McNair, Janise
• 通讯作者: McNair, Janise

ISAS: AAA Protocol-based Handover and Improved Security Methodology through the Integration Security Authentication System Constitute

ISAS：基于AAA协议的切换和通过集成安全认证系统构成改进的安全方法

• DOI: 10.5573/ieiespc.2023.12.4.358
• 发表时间: 2023
• 期刊: IEIE Transactions on Smart Processing & Computing
• 作者: Park, Byungjoo;Kim, Jaehwan;Janise, McNair
• 通讯作者: Janise, McNair