SWIFT: Transceiver and algorithms for multiband mobile communications in co-existence with passive uses at millimeter wave spectra

SWIFT：用于与毫米波频谱无源使用共存的多频段移动通信的收发器和算法

• 批准号: 2127648
• 负责人: Mai Vu
• 金额: $ 40万
• 依托单位: Tufts 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: 2021-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2127648&HistoricalAwards=false
• 关键词: SWIFT; Transceiver; algorithms; multiband; mobile; SWIFT; Transceiver; algorithms; multiband; mobile

Demand on the wireless spectrum by mobile broadband access has driven the need for expanding spectrum usage to millimeter-wave (mmWave) frequencies and prompted the question on the feasibility of sharing spectra currently allocated to passive uses such as satellites and passive sensors. This project will investigate the possibility of co-sharing such millimeter-wave bands with mobile cellular services. The project puts forth the analysis of aggregated interference created to the passive-sensor satellites in these bands as a function of mobile system transmit power and densities of users and base stations to assess the feasibility of coexistence. The project will involve the design of a novel dual-band millimeter-wave wireless transceiver and associated joint power control, frequency allocation, and connections assignment algorithm to ensure meeting spectral masks to the passive devices while enabling effective cellular communications. Research results will serve as a baseline for any 5G/6G and beyond mobile transceiver design, algorithm design, integration, and implementation especially at mmWave frequencies, contributing to smaller form factor and higher power devices as well as expanding spectrum usage in co-existence with other passive uses.This project is aiming to advance the fundamental knowledge and have a direct and significant impact on practical systems in both hardware innovation and algorithm design. On the hardware front, the focus is to demonstrate new ideas and novel design of a wireless transceiver that can perform carrier aggregation of both uplink and two downlink frequency bands in millimeter-wave spectra. This includes innovative and novel circuit architectures to enable and/or enhance the performance of mmWave filter, power amplifier, and low noise amplifier. The result of hardware research will be the integration of all these components into a complete front-end mmWave dual-band transceiver in a multi-layer laminate substrate, verified with extensive simulations and prototyping fabrication. On the algorithm design, the proposed research will address the joint problem of power control, frequency allocation, and user association (connection assignments) in a mobile mmWave broadband network in the context of co-existence with passive uses. The algorithm design takes into account the aggregated interference generated to the passive-sensor satellites in these bands as a function of the transmit power and density of mobile users and base stations within the satellite’s footprint. The algorithm also provides power levels for biasing the proposed power amplifiers in the mmWave transceiver and integrates the proposed filters for computing interference in adjacent bands. These hardware and algorithm innovations have the potential for immense impact on future mobile communication 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.

移动宽带访问对无线频谱的需求促使需要将光谱使用扩展到毫米波（MMWAVE）频率，并提出了有关当前分配给被动用途（例如卫星和被动传感器）的可行性的问题。该项目将调查将此类毫米波带与移动蜂窝服务共享的可能性。该项目对这些频段中的被动传感器卫星产生的汇总干扰进行了分析，这是移动系统传输功率和用户和基站密度的函数，以评估共存的可行性。该项目将涉及一种新型的双波段毫米无线收发器以及相关的关节功率控制，频率分配和连接分配算法的设计，以确保与被动设备遇到光谱掩码，同时启用有效的蜂窝通信。研究结果将成为任何5G/6G及以外移动收发器设计，算法设计，集成和实施的基准，尤其是在MMWave频率下，有助于较小的外形和较高的功率设备和较高的功率设备，并在与其他被动使用方面扩展频谱使用方面的频谱使用。该项目旨在促进对基本知识和练习的影响，以实践和实践影响，并促进了练习的练习，并具有重要的练习。 设计。在硬件方面，重​​点是展示无线收发器的新想法和新颖的设计，该设计可以在毫米波光谱中执行上行链路和两个下行链路频带的载体聚合。这包括创新和新颖的电路体系结构，以实现和/或增强MMWave滤波器，功率放大器和低噪声放大器的性能。硬件研究的结果将是将所有这些组件集成到多层层压板底物中的完整前端MMWave双波段收发器中，并通过广泛的模拟和原型制造进行了验证。在算法设计上，拟议的研究将解决移动MMWave宽带网络中电力控制，频率分配和用户关联（连接分配）的联合问题，并在与被动用途共存的背景下。该算法设计考虑了这些频段中被动传感器卫星生成的汇总干扰，这是卫星足迹中移动用户和基站的发射功率和密度的函数。该算法还提供了功率水平，以偏向MMWave收发器中提出的功率放大器，并集成了提出的过滤器以计算相邻频段中的干扰。这些硬件和算法创新有可能影响未来的移动通信系统。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评估标准，被视为通过评估而被视为珍贵的支持。