RUI: SpecEES: Collaborative Research: Enabling Secure, Energy-Efficient, and Smart In-Band Full Duplex Wireless

RUI:SpecEES:协作研究:实现安全、节能和智能的带内全双工无线

基本信息

  • 批准号:
    1923409
  • 负责人:
  • 金额:
    $ 25万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-09-01 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

In-band full-duplex (IBFD) wireless communication technique has tremendous potentials in spectral efficiency because of its simultaneous transmission and reception of information. Although IBFD wireless communication technique has been theoretically investigated and analyzed for years, it remains very challenging to be systemically enabled in practice because of a few hurdles. This project will design and develop deep learning resolutions of self-interference cancellation, power control, and security for future IBFD wireless communication systems. The research can potentially double the wireless spectrum efficiency and impact future wireless standards and policies. Outcomes as publications and open source codes will be made available to the research community to significantly facilitate the research on deep learning-based wireless communications. This project will integrate the research outcomes into course curricula to promote training workforce with knowledge and skills in deep learning and future wireless system design. Underrepresented students will be recruited to participate as research assistants or through special programs, e.g., the Louis Stokes Alliance for Minority Participation Program or the Sloan Engineering Program at the collaborative institutions. This research tackles three major challenges and problems to enable secure, spectrum-efficient, and energy-efficient IBFD wireless communication systems. First, this project will design deep learning based all-digital self-interference cancellation solutions with the potential of doubling the spectrum efficiency. Such design with nonlinear solutions is expected to model the self-interference much more accurately than conventional solutions. The proposed per-symbol estimation of wireless channel condition will provide the highest resolution of channel dynamics to upper layers for cross-layer designs. Second, deep learning power control solutions will be designed to maximize the energy efficiency of IBFD wireless system. These solutions are expected to achieve optimal performance while overcoming the computational and mathematical hurdles in traditional solutions. Third, by data-mining the IBFD channel dynamics, new solutions for wireless security with high degrees of efficiency and secrecy will be developed for IBFD wireless communication systems and 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.
带内全双工(IBFD)无线通信技术由于能够同时发送和接收信息,在频谱效率方面具有巨大的潜力。虽然IBFD无线通信技术已经在理论上研究和分析了多年,但由于存在一些障碍,在实践中系统地实现IBFD仍然具有很大的挑战性。 该项目将为未来的IBFD无线通信系统设计和开发自干扰消除、功率控制和安全性的深度学习解决方案。这项研究可能会使无线频谱效率提高一倍,并影响未来的无线标准和政策。成果包括出版物和开源代码,将提供给研究界,以大大促进基于深度学习的无线通信的研究。该项目将把研究成果整合到课程中,以促进培训具有深度学习和未来无线系统设计知识和技能的员工。代表性不足的学生将被招募参加研究助理或通过特殊计划,例如,路易斯·斯托克斯少数民族参与计划联盟或合作机构的斯隆工程计划。这项研究解决了三个主要的挑战和问题,使安全,频谱效率和能源效率的IBFD无线通信系统。首先,该项目将设计基于深度学习的全数字自干扰消除解决方案,具有将频谱效率提高一倍的潜力。这种具有非线性解决方案的设计预期比传统解决方案更精确地模拟自干扰。所提出的无线信道条件的每符号估计将为跨层设计的上层提供信道动态的最高分辨率。其次,深度学习功率控制解决方案将被设计为最大限度地提高IBFD无线系统的能效。这些解决方案有望实现最佳性能,同时克服传统解决方案中的计算和数学障碍。第三,通过对IBFD信道动态的数据挖掘,将为IBFD无线通信系统和网络开发出具有高度效率和保密性的无线安全新解决方案。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

期刊论文数量(12)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Beyond the MDS Bound in Distributed Cloud Storage
  • DOI:
    10.1109/tit.2020.2993038
  • 发表时间:
    2020-05
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    Jian Li;Tongtong Li;Jian Ren
  • 通讯作者:
    Jian Li;Tongtong Li;Jian Ren
CASO: Cost-Aware Secure Outsourcing of General Computational Problems
Secure and Efficient OFDM System Design under Disguised Jamming
RealPRNet: A Real-Time Phoneme-Recognized Network for “Believable” Speech Animation
RealPRNet:用于“可信”语音动画的实时音素识别网络
  • DOI:
    10.1109/jiot.2021.3110468
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    10.6
  • 作者:
    Yu, Zixiao;Wang, Haohong;Ren, Jian
  • 通讯作者:
    Ren, Jian
Feasible Region of Secure and Distributed Data Storage in Adversarial Networks
对抗网络中安全分布式数据存储的可行区域
  • DOI:
    10.1109/jiot.2021.3119031
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    10.6
  • 作者:
    Ren, Jian;Li, Jian;Li, Tongtong;Mutka, Matt W.
  • 通讯作者:
    Mutka, Matt W.
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Jian Ren其他文献

末次冰期至全新世白令海东南部古气候变化
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    4
  • 作者:
    Oliver Esper;Jian Ren;Gerhard Kuhn;Hartmut Kuehn
  • 通讯作者:
    Hartmut Kuehn
LinSOS: Secure outsourcing of linear computations based on affine mapping
LinSOS:基于仿射映射的线性计算的安全外包
Intravascular polarization sensitive optical coherence tomography in human patients
人类患者的血管内偏振敏感光学相干断层扫描
  • DOI:
    10.1364/cleo_at.2016.aw1o.2
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    0
  • 作者:
    M. Villiger;A. Karanasos;Jian Ren;N. Lippok;M. Shishkov;G. van Soest;S. Nadkarni;E. Regar;B. Bouma
  • 通讯作者:
    B. Bouma
Dispersion analysis and measurement of potassium tantalate niobate crystals by broadband optical interferometers.
宽带光学干涉仪对钽铌酸钾晶体的色散分析和测量。
  • DOI:
    10.1364/ao.56.000234
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    1.9
  • 作者:
    Jian Ren
  • 通讯作者:
    Jian Ren
Stimulation of anterior pituitary galanin and prolactin gene expression in suckling rats
刺激乳鼠垂体前叶甘丙肽和催乳素基因表达
  • DOI:
    10.1385/endo:11:3:251
  • 发表时间:
    1999
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Jian Ren;J. Koenig;S. Hooi
  • 通讯作者:
    S. Hooi

Jian Ren的其他文献

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{{ truncateString('Jian Ren', 18)}}的其他基金

SPX: Toward Network Level Parallel Computing: Security, Efficiency and Scalability
SPX:迈向网络级并行计算:安全性、效率和可扩展性
  • 批准号:
    1919154
  • 财政年份:
    2019
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
STARSS: Small: Collaborative: Zero-power Dynamic Signature for Trust Verification of Passive Sensors and Tags
STARSS:小型:协作:用于无源传感器和标签的信任验证的零功耗动态签名
  • 批准号:
    1524520
  • 财政年份:
    2015
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
NeTS: Small: Adaptive Network Coding for Wireless Relay Networks
NeTS:小型:无线中继网络的自适应网络编码
  • 批准号:
    1117831
  • 财政年份:
    2011
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
RAPID: Collaborative Research: Gulf of Mexico Oil Spill Impact on Beach Soil: Radar and Radar Sensor Network-Based Approaches
RAPID:合作研究:墨西哥湾漏油对海滩土壤的影响:雷达和基于雷达传感器网络的方法
  • 批准号:
    1050326
  • 财政年份:
    2010
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
SGER: Privacy-Preserving Communication in Wireless Networks
SGER:无线网络中的隐私保护通信
  • 批准号:
    0848569
  • 财政年份:
    2009
  • 资助金额:
    $ 25万
  • 项目类别:
    Standard Grant
CAREER: Towards Cognitive Communications in Wireless Networks
职业:无线网络中的认知通信
  • 批准号:
    0845812
  • 财政年份:
    2009
  • 资助金额:
    $ 25万
  • 项目类别:
    Continuing Grant

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    1923884
  • 财政年份:
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  • 项目类别:
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