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

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.

移动的宽带接入对无线频谱的需求已经驱动了将频谱使用扩展到毫米波（mmWave）频率的需求，并且引发了关于共享当前分配给诸如卫星和无源传感器的无源用途的频谱的可行性的问题。该项目将研究与移动的蜂窝服务共享这种毫米波段的可能性。该项目提出了对这些波段中被动传感器卫星所受的综合干扰的分析，作为移动的系统发射功率和用户及基站密度的函数，以评估共存的可行性。该项目将涉及一种新型双频毫米波无线收发器的设计，以及相关的联合功率控制，频率分配和连接分配算法，以确保满足无源设备的频谱屏蔽，同时实现有效的蜂窝通信。研究结果将作为任何5G/6 G及以后移动的收发器设计、算法设计、集成和实施的基准，特别是在毫米波频率下。有助于更小的形状因子和更高的功率设备，以及扩大频谱使用，存在与其他被动用途。该项目的目的是推进基础知识，并有一个直接和重大的影响，在实际系统中的硬件创新和算法设计。在硬件方面，重点是展示无线收发器的新思想和新设计，该收发器可以在毫米波频谱中执行上行链路和两个下行链路频带的载波聚合。这包括创新和新颖的电路架构，以实现和/或增强毫米波滤波器、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一个完整的前端毫米波双频收发器中的多层层压基板，并通过广泛的模拟和原型制造进行验证。在算法设计上，本文将解决移动的毫米波宽带网络中功率控制、频率分配和用户关联（连接分配）的联合问题。该算法的设计考虑到在这些频段的被动传感器卫星作为发射功率和密度的函数的移动的用户和基站内的卫星的足迹所产生的聚合干扰。该算法还提供了用于偏置毫米波收发器中的拟议功率放大器的功率电平，并集成了拟议滤波器，用于计算相邻频带中的干扰。这些硬件和算法创新对未来的移动的通信系统具有巨大的影响力。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

Distributed Multi-Agent Deep Q-Learning for Load Balancing User Association in Dense Networks

• DOI: 10.1109/lwc.2023.3250492
• 发表时间: 2023-07
• 期刊: IEEE Wireless Communications Letters
• 影响因子: 6.3
• 作者: Byungju Lim;Mai H. Vu