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WiFiUS: Collaborative Research: Low Overhead Wireless Access Solutions for Massive and Dynamic IoT Connectivity

WiFiUS: Collaborative Research: Low Overhead Wireless Access Solutions for Massive and Dynamic IoT Connectivity
WiFiUS:协作研究:用于大规模动态物联网连接的低开销无线接入解决方案
批准号:
1702752
负责人:
Zhi Ding
金额:
$15.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-04-01 至 2020-02-29

项目摘要

项目成果

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中文摘要
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英文摘要
By wirelessly connecting billions of physical devices such as sensors, appliances, vehicles, machines, and wearable electronics, the ubiquitous connectivity to IoT (Internet of Things) will fundamentally change the way humans interact with one another and with the physical world. IoT technologies are poised to transform many critical sectors including health, energy, and transportation. On the other hand, the massive connectivity, uneven information payload, severe cost and power constraints, and diverse service needs of IoT applications also pose significant challenges to existing design principles of wireless systems. To address such challenges, this WiFiUS project aims to develop fundamentally new access protocols and transmission technologies specifically for the next-generation IoT-centric wireless applications, to achieve low-overhead and low-cost communications at high efficiency and low-latency. The success of the project will broadly benefit both wireless operators and equipment/device developers by addressing the timely and difficult challenge of effectively connecting massive number of IoT devices. The results of this project will be widely disseminated through tutorials, publications, exchanges with industry partners, and be incorporated into undergraduate and graduate education.Specifically, the project develops new IoT network frameworks, control algorithms and optimization tools to support high-performance and low-overhead connectivity for massive number of IoT devices with heterogeneous energy and latency requirements. Bringing together expertise spanning PHY/MAC-layers and signal processing as well as network-layer protocol design and optimization, the US-Finland team leverages two key innovations to unleash the potential of network-layer and physical-layer advances for IoT applications. First, the project targets the reduction of overhead and complexity (such as for channel access, scheduling, and beamforming) as a central investigative issue; and aims to unlock the vast efficiency gains of large scale multi-antenna coverage for IoT devices with low-overhead, low-cost, and low-power constraints. Second, the solutions will seamlessly integrate licensed and unlicensed bands, as well as stationary and mobile access points, in order to support the largest potential range of IoT applications with diverse QoS requirements. Integratively, the project will generate a novel and comprehensive set of solutions to support low-overhead and low-cost massive IoT connectivity, and to dynamically adapt to changing load- and traffic-patterns to deliver the required level of coverage and service quality.
期刊论文(20)
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会议论文
DOI: 10.1109/twc.2018.2875448
发表时间: 2019-01
期刊: IEEE Transactions on Wireless Communications
影响因子: 10.4
作者: [Wenhao Wu;Z. Ding]
通讯作者: Wenhao Wu;Z. Ding
DOI: 10.1109/glocom.2017.8253952
发表时间: 2017-12
期刊: GLOBECOM 2017 - 2017 IEEE Global Communications Conference
影响因子: --
作者: [Taha Bouchoucha;Chen-Nee Chuah;Z. Ding]
通讯作者: Taha Bouchoucha;Chen-Nee Chuah;Z. Ding
DOI: 10.1109/icc.2018.8422619
发表时间: 2018-05
期刊: 2018 IEEE International Conference on Communications (ICC)
影响因子: --
作者: [Hesham M. Elmaghraby;Keqin Liu;Z. Ding]
通讯作者: Hesham M. Elmaghraby;Keqin Liu;Z. Ding
DOI: 10.1109/icc.2019.8761888
发表时间: 2019-05
期刊: ICC 2019 - 2019 IEEE International Conference on Communications (ICC)
影响因子: --
作者: [Carlos Feres;Z. Ding]
通讯作者: Carlos Feres;Z. Ding
20
    SWIFT-SAT: Network Adaptation Based on Physics-Inspired Learning Framework for Radio Coexistence of Terrestrial and Satellite Information Systems
    • 批准号:
      2332760
    • 项目类别:
      Standard Grant
    • 资助金额:
      $75.0万
    • 财政年份:
      2023
    • 负责人:
      Zhi Ding
    • 依托单位:
    CCSS: Hyper-Graph Signal Processing for Multimedia Data Analysis in Cyber System Applications
    • 批准号:
      2029848
    • 项目类别:
      Standard Grant
    • 资助金额:
      $30.0万
    • 财政年份:
      2021
    • 负责人:
      Zhi Ding
    • 依托单位:
    SWIFT:SMALL: Dynamic Wireless Resource Management and Transceiver Adaptation for Efficient Spectrum Utilization and Coexistence
    • 批准号:
      2029027
    • 项目类别:
      Standard Grant
    • 资助金额:
      $41.28万
    • 财政年份:
      2020
    • 负责人:
      Zhi Ding
    • 依托单位:
    CIF: Small: Robust Signal Recovery and Grant-Free Access for Massive IoT Connectivity
    • 批准号:
      2009001
    • 项目类别:
      Standard Grant
    • 资助金额:
      $43.1万
    • 财政年份:
      2020
    • 负责人:
      Zhi Ding
    • 依托单位:
    海外基金