Collaborative Research: SWIFT: Coexistence and Interference Mitigation in the Mid-Band Spectrum: Analysis, Protocol Design, and Experimentation

合作研究：SWIFT：中频段频谱的共存和干扰缓解：分析、协议设计和实验

• 批准号: 2229386
• 负责人: Marwan Krunz
• 金额: $ 37.5万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2229386&HistoricalAwards=false
• 关键词: Collaborative; Research; SWIFT; Coexistence; Interference

Rapid proliferation of mobile technologies, manifested by a boom in smart phones and mobile video, along with the emergence of new verticals such as industrial IoT and autonomous vehicles, placed high demand on the communications infrastructure and motivated the introduction of 5G cellular systems. Compared to its 4G/LTE predecessor, 5G systems promise to deliver orders of magnitude higher data rates, significantly lower end-to-end latency, much denser connectivity, seamless coverage, high reliability, and longer battery lifetime. Facilitating these performance gains are advances on multiple fronts, most notably access to new swaths of the radio frequency (RF) spectrum. In addition to opening new spectrum above 24 GHz for 5G systems, the FCC and other regulatory bodies also created new opportunities at mid-bands below 7 GHz (“beachfront spectrum”). These bands exhibit favorable propagation characteristics that enable wide-area coverage at high data rates.This project focuses on addressing coexistence challenges over three recently available mid-bands: the C-band (3.7-3.98 GHz), the CBRS band (3.55-3.7 GHz), and the recently unlicensed 6 GHz bands (5.925-7.125 GHz). These bands have been only recently allocated for commercial wireless systems, which will have to coexist on these bands with a wide variety of incumbents, including Navy radar in 3.55–3.7 GHz CBRS band, point-to-point microwave links and passive radioastronomy receivers (e.g., the Methanol line) in the 6 GHz bands, and adjacent radar altimeters in the 4.2–4.4 GHz band. The proposed research agenda includes three thrusts. In the first thrust, the PIs will focus on coexistence and interference mitigation in the C-band. Despite extensive media coverage of the potential of 5G interference onto radar altimeters, there is a lack of rigorous, unbiased analyses and measurement of such interference in realistic operational scenarios. The PIs will accurately characterize C-band interference and establish the conditions under which it may occur. Novel machine learning (ML) techniques will be developed for real-time detection of interference and mitigation of its impact by adapting the 5G transmission parameters. The second thrust focuses on coexistence and interference mitigation in the CBRS band, particularly secondary coexistence between Tier 3 (GAA) users, which is quickly emerging as a bottleneck to efficient use of the band. Protocol-based and ML-based solutions will be explored. The third thrust focuses on coexistence in the unlicensed 6 GHz bands, where ML-based protocol classification designs will be explored to allow a given device to detect the underlying protocols of other devices and adapt its parameters accordingly. The proposed solutions will be evaluated via simulations and field measurements. These solutions are expected to have broader applicability beyond the specific studied bands. Research outcomes from this project will be shared with industry and will be provided to the FCC as case studies to facilitate subsequent policy making in other bands. The proposed research will be fully integrated into the educational plan by incorporating its outcomes in newly designed and existing courses as well as training undergraduate and graduate students via mentoring, participation in test-bed development, and special projects. The project contains a detailed plan to broaden participation of underrepresented groups via various channels established in the past years.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.

移动的技术的快速扩散，表现为智能手机和移动的视频的繁荣，沿着工业物联网和自动驾驶汽车等新垂直领域的出现，对通信基础设施提出了很高的要求，并推动了5G蜂窝系统的引入。与其4G/LTE前身相比，5G系统有望提供数量级更高的数据速率，显着降低端到端延迟，更密集的连接，无缝覆盖，高可靠性和更长的电池寿命。促进这些性能提升的是多个方面的进步，最值得注意的是获得新的射频（RF）频谱。除了为5G系统开放24 GHz以上的新频谱外，FCC和其他监管机构还在7 GHz以下的中频段（“海滨频谱”）创造了新的机会。该项目的重点是解决三个最近可用的中频段共存的挑战：C频段（3.7-3.98 GHz）、CBRS频段（3.55-3.7 GHz）和最近未授权的6 GHz频段（5.925-7.125 GHz）。 这些频段最近才被分配给商业无线系统，这些系统必须在这些频段上与各种现有设备共存，包括3.55-3.7 GHz CBRS频段的海军雷达、点对点微波链路和无源射电天文学接收机（例如，甲醇线），相邻的雷达高度表在4.2-4.4 GHz波段。拟议的研究议程包括三个重点。在第一个推力中，PI将专注于C波段的共存和干扰缓解。尽管媒体广泛报道了5G对雷达高度计的潜在干扰，但在现实的操作场景中缺乏对这种干扰的严格，公正的分析和测量。PI将准确描述C波段干扰的特征，并确定可能发生干扰的条件。将开发新的机器学习（ML）技术，通过调整5G传输参数来实时检测干扰并减轻其影响。第二个重点是CBRS频带中的共存和干扰缓解，特别是第3层（GAA）用户之间的二次共存，这很快成为有效使用频带的瓶颈。将探讨基于方案和基于ML的解决方案。第三个重点是在未经许可的6 GHz频段的共存，其中基于ML的协议分类设计将被探索，以允许给定的设备检测其他设备的底层协议，并相应地调整其参数。所提出的解决方案将通过模拟和现场测量进行评估。这些解决方案预计将具有更广泛的适用性超出特定的研究频带。该项目的研究成果将与业界分享，并将作为案例研究提供给联邦通信委员会，以促进其他频段的后续政策制定。拟议的研究将通过将其成果纳入新设计的和现有的课程以及通过指导，参与试验台开发和特殊项目培训本科生和研究生，完全融入教育计划。该项目包含了一个详细的计划，通过过去几年建立的各种渠道扩大代表性不足的群体的参与。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。

项目成果

AdaptiveFog: A Modelling and Optimization Framework for Fog Computing in Intelligent Transportation Systems

• DOI: 10.1109/tmc.2021.3080397
• 发表时间: 2021-06
• 期刊: IEEE Transactions on Mobile Computing
• 影响因子: 7.9
• 作者: Yong Xiao;M. Krunz

AI-based Robust Convex Relaxations for Supporting Diverse QoS in Next-Generation Wireless Systems

• DOI: 10.1109/icdcsw53096.2021.00014
• 发表时间: 2021-07
• 期刊: 2021 IEEE 41st International Conference on Distributed Computing Systems Workshops (ICDCSW)
• 作者: Steve Chan;M. Krunz;Bob Griffin

Dynamic Spectrum Access in Non-stationary Environments: A DRL-LSTM Integrated Approach

• DOI: 10.1109/icnc57223.2023.10074454
• 发表时间: 2023-02
• 期刊: 2023 International Conference on Computing, Networking and Communications (ICNC)
• 作者: Ming Feng;Wenhan Zhang;M. Krunz