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Collaborative Research: CNS Core: Small: Extended Reality over Wireless Cellular Networks: Quality-of-Experience Analysis and Optimization

Collaborative Research: CNS Core: Small: Extended Reality over Wireless Cellular Networks: Quality-of-Experience Analysis and Optimization
合作研究:CNS 核心:小型:无线蜂窝网络上的扩展现实:体验质量分析和优化
批准号:
2007635
负责人:
Walid Saad
金额:
$23.0万
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 2024-09-30

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中文摘要
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英文摘要
Extended reality (XR) technologies, encompassing virtual reality, augmented reality, and mixed reality, will immerse users in virtual worlds with unprecedented interactivity across multiple domains ranging from gaming to sports and entertainment. However, to date, XR technologies have mostly relied on wired connectivity, which restricts their use to small spaces and narrows their application domains. In contrast, the goal of this research is to unleash the potential of XR technologies by marrying them with seamless wireless connectivity. As a result, this research will potentially enable users to use XR applications on-the-go without being confined to indoor environments and having to carry cumbersome cable-connected XR equipment.This goal is achieved by developing a holistic framework for enabling XR over wireless networks by symbiotically integrating rigorous theory with real-world communication system design considerations. A key component of this framework is the development of precise quality-of-experience metrics that combine objective wireless quality-of-service indicators with subjective XR user experience measures using tools from utility theory. These metrics are then integrated into novel resource management algorithms that merge concepts from reinforcement learning and reservoir computing to guarantee seamless XR quality-of-experience and adapt the network to XR user dynamics. The developed solutions are validated in realistic environments using a combination of simulations and user experiments.This research will contribute towards accelerating the deployment of wireless XR technologies and applications thus having tangible societal impacts. A well-crafted educational plan focused on wireless XR will be developed and will include curriculum development as well as involvement of students in research and hands-on projects. Broadening participation outreach events will be organized as part of existing summer camps and will include seminars and hands-on activities that can expose the community to wireless XR technologies, in general, and the outcomes of this research, in particular. Workshops focused on wireless XR will be organized for broad dissemination. Outcomes of this project will be posted at https://sites.google.com/view/nsfcns2008646project/homeThis 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(7)
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会议论文
Disentangling Learnable and Memorizable Data via Contrastive Learning for Semantic Communications
通过语义通信的对比学习来解开可学习和可记忆的数据
DOI: --
发表时间: 2022
期刊: Systems and Computer
影响因子: --
作者: [Chaccour, Christina, Saad, Walid]
通讯作者: Saad, Walid
DOI: 10.1109/icc45855.2022.9838764
发表时间: 2021-11
期刊: ICC 2022 - IEEE International Conference on Communications
影响因子: --
作者: [Christina Chaccour;W. Saad;Omid Semiari;M. Bennis;P. Popovski]
通讯作者: Christina Chaccour;W. Saad;Omid Semiari;M. Bennis;P. Popovski
Edge Continual Learning for Dynamic Digital Twins over Wireless Networks
通过无线网络实现动态数字孪生的边缘持续学习
DOI: 10.1109/spawc51304.2022.9833928
发表时间: 2022
期刊: EEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC
影响因子: --
作者: [Hashash, Omar, Chaccour, Christina, Saad, Walid]
通讯作者: Saad, Walid
DOI: 10.1109/globecom46510.2021.9685056
发表时间: 2021-12
期刊: 2021 IEEE Global Communications Conference (GLOBECOM)
影响因子: --
作者: [Yining Wang;Mingzhe Chen;W. Saad;Tao Luo;Shuguang Cui;H. Poor]
通讯作者: Yining Wang;Mingzhe Chen;W. Saad;Tao Luo;Shuguang Cui;H. Poor
7
    Collaborative Research: NeTS: JUNO3: Towards an Internet of Federated Digital Twins (IoFDT) for Society 5.0: Fundamentals and Experimentation
    NSF-AoF: Vision-Guided Wireless Communication Systems
    Collaborative Research: CNS Core: Small: Hierarchical Federated Learning Over Wireless Edge Networks: Performance Analysis and Optimization
    SII Planning: ARIES: Center for Agile, RelIablE, Scalable Spectrum
    国内基金
    海外基金
    Research on Quantum Field Theory without a Lagrangian Description
    • 批准号:
      24ZR1403900
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2024
    • 负责人:
      SATOSHI NAWATA
    • 依托单位:
    Cell Research
    Cell Research
    Cell Research (细胞研究)