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Hybrid mmWave mMIMO Transceiver Design for Doubly-Selective Channels

Hybrid mmWave mMIMO Transceiver Design for Doubly-Selective Channels
适用于双选通道的混合毫米波 mMIMO 收发器设计
批准号:
2102312
负责人:
Georgios Giannakis
金额:
$34.45万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-10-01 至 2024-10-31

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项目成果

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中文摘要
翻译
我们的时代正在见证无数新的无线应用的出现。例子包括通过联网车辆的自动驾驶、高清直播、无处不在的信息淋浴、物联网(IoT)和地面卫星合作,仅举几例。然而,今天的无线解决方案在支持这些应用方面落后了。例如,用于实时流传输的立体高动态范围360度视频需要2-20 Gbps的数据速率。这远远超出了我们目前无线网络的能力。具有多千兆赫带宽和大规模天线阵列的毫米波无线电具有将许多无线应用从梦想变为现实的潜力。然而,他们的潜力伴随着巨大的挑战。一方面,毫米波经历复杂且随时间变化的电磁传播效应,这与当前的无线系统不同。另一方面,毫米波系统设计受制于独特的混合数字和模拟结构,由于成本的考虑。该项目为这些前所未有的挑战开发了范式转换解决方案,并为在静态和移动的场景中广泛部署毫米波技术铺平了道路。研究成果有望推动最先进的无线技术,并提高混合毫米波大规模MIMO部署与大量的移动的用户的准备。该项目有一个综合的教育计划,为无线通信和传感未来的挑战做好准备。该研究包括致力于设计和优化具有混合结构的毫米波大规模MIMO收发器的开创性工作,在具有挑战性的双选择性信道传播下,以及可能配备超低复杂度结构的多个用户设备。首先,一个混合双选择毫米波大规模MIMO信道估计器将开发利用双稀疏信道。基于估计的信道,一个固有的宽带的方法将被采用来设计多用户混合收发器。这些收发器将进一步优化,以利用空间复用增益,尽管在混合收发器的射频(RF)链的数量非常少。除此之外,该基金会还将致力于解决与超低复杂度混合收发器相关的极端系统设计和优化挑战,这些收发器具有超低位深模数转换器和/或超低位数模拟移相器网络。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响评审标准进行评估,被认为值得支持。
英文摘要
Our era is witnessing the emergence of innumerable new wireless applications. Examples include autonomous driving via connected vehicles, high-definition live streaming, pervasive information showers, internet of things (IoT), and terrestrial-satellite cooperation, just to name a few. However, today's wireless solutions are lagging behind in supporting these applications. For example, the stereoscopic high-dynamic range 360-degree video for live streaming requires 2-20 Gbps data rate. This far exceeds the capability of our current wireless networks. mm-wave radios with multi-gigahertz bandwidth and massive antenna arrays have the potential to bring many wireless applications from dream to reality. However, their potentials come with formidable challenges. On the one hand, mm-wave experiences complicated and time-varying electromagnetic propagation effects that are distinct from current wireless systems. On the other hand, the mm-wave system design is subject to the unique hybrid digital and analog structures due to cost considerations. This project develops paradigm-shifting solutions to these unprecedented challenges and paves the road towards widespread deployment of mm-wave technology in both static and mobile scenarios. The research outcomes are expected to advance the state-of-the-art wireless technologies and improve the readiness of hybrid mm-wave massive MIMO deployment with a massive number of mobile users. The project has an integrated education plan to prepare workforce for future challenges in wireless communications and sensing. The research consists of pioneering efforts dedicated to the design and optimization of mm-wave massive MIMO transceivers with a hybrid structure, under challenging doubly-selective channel propagation, and with multiple user devices that may be equipped with ultra-low-complexity structures. First, a hybrid doubly-selective mm-wave massive MIMO channel estimator will be developed by exploiting the double sparsity of the channel. Based on the estimated channel, an inherently wideband approach will be adopted to design the multi-user hybrid transceivers. These transceivers will be further optimized to exploit the spatial multiplexing gain, despite the very small number of radio-frequency (RF) chains at the hybrid transceivers. On top of all these, efforts will also be made to address extreme system design and optimization challenges associated with ultra-low-complexity hybrid transceivers with ultra-low-bit-depth analog-to-digital converters and/or ultra-low-bit-count analog phase shifter networks.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.
期刊论文(6)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1609/aaai.v37i9.26337
发表时间: 2023-03
期刊: ArXiv
影响因子: --
作者: [Yilang Zhang;Bingcong Li;Shi-Ji Gao;G. Giannakis]
通讯作者: Yilang Zhang;Bingcong Li;Shi-Ji Gao;G. Giannakis
DOI: 10.1109/tits.2022.3148105
发表时间: 2022
期刊: IEEE Transactions on Intelligent Transportation Systems
影响因子: 8.5
作者: [Hanqiu Wang, Rongqing Zhang, Xiang Cheng, Liuqing Yang]
通讯作者: Liuqing Yang
Integrated Distributed Wireless Sensing with Over-The-Air Federated Learning
集成分布式无线传感与空中联合学习
DOI: 10.1109/igarss52108.2023.10282842
发表时间: 2023
期刊: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
影响因子: --
作者: [Gao, Shijian, Yan, Jia, Giannakis, Georgios B.]
通讯作者: Giannakis, Georgios B.
DOI: 10.1109/ieeeconf56349.2022.10051868
发表时间: 2022-10
期刊: 2022 56th Asilomar Conference on Signals, Systems, and Computers
影响因子: --
作者: [Jiahe Yan;Qin Lu;G. Giannakis]
通讯作者: Jiahe Yan;Qin Lu;G. Giannakis
6
    Collaborative Research: ECCS-CCSS Core: Resonant-Beam based Optical-Wireless Communication
    • 批准号:
      2332173
    • 项目类别:
      Standard Grant
    • 资助金额:
      $20.0万
    • 财政年份:
      2024
    • 负责人:
      Georgios Giannakis
    • 依托单位:
    Collaborative Research: CIF: Medium: Robust Learning over Graphs
    • 批准号:
      2312547
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $35.67万
    • 财政年份:
      2023
    • 负责人:
      Georgios Giannakis
    • 依托单位:
    IMR: MM-1C: Learning-driven Models for 5G Internet Measurements
    • 批准号:
      2220292
    • 项目类别:
      Standard Grant
    • 资助金额:
      $60.0万
    • 财政年份:
      2022
    • 负责人:
      Georgios Giannakis
    • 依托单位:
    Collaborative Research: SWIFT: Cognitive-IoV with Simultaneous Sensing and Communications via Dynamic RF Front End
    • 批准号:
      2128593
    • 项目类别:
      Standard Grant
    • 资助金额:
      $42.0万
    • 财政年份:
      2021
    • 负责人:
      Georgios Giannakis
    • 依托单位:
    海外基金