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EARS: Joint Optimization of RF Design and Smartphone Sensing: From Adaptive Sniffing to WAZE-Inspired Spectrum Sharing

EARS: Joint Optimization of RF Design and Smartphone Sensing: From Adaptive Sniffing to WAZE-Inspired Spectrum Sharing
EARS:射频设计和智能手机传感的联合优化:从自适应嗅探到受 WAZE 启发的频谱共享
批准号:
1547294
负责人:
Junshan Zhang
金额:
$65.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-09-15 至 2019-08-31

项目摘要

项目成果

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中文摘要
翻译
在过去的十年里,商业无线频谱的需求直线上升。预计在可预见的未来,移动流量(尤其是智能手机流量)的急剧增长将持续下去,因此迫切需要开发创新的频谱感知和共享技术。这项拟议的研究是受到Waze的启发,Waze是一个非常成功的基于GPS的移动导航应用程序,它根据用户提交的旅行时间和路线细节提供实时交通信息。受Waze的启发,这个项目围绕着这样一个愿景:通过内置频谱嗅探器和移动设备共享使用信息的帮助,下一代智能手机将能够进行实时频谱感知和通信环境共享。这项研究将实现从现有认知无线电设计方法到使用感知频谱共享的范式转变。针对智能手机频谱嗅探的低成本集成宽带射频设计的创新实施,与新颖的频谱共享技术相结合,将对智能手机设计产生引人注目和变革性的影响,并实现高效的频谱共享。教育活动将通过激励和吸引初中生和高中生参与工程学,培养这一国家需要的领域的熟练劳动力。基于这一愿景,该项目倡导智能手机射频(RF)硬件和频谱感知的联合设计,旨在以最小的动态范围和对智能手机硬件的功耗要求实现使用感知频谱共享。在这一共同主题下,该项目包括以下研究和教育推动力。I)用于智能手机感测的低成本射频架构。Struts I专注于用于频谱感知和数据传输的低成本、集成、宽带射频设计。频谱嗅探器利用共享使用信息检测从1 GHz到18 GHz的高动态范围和灵敏度的RF信号,而数字发射器能够以较低的手机功耗实现与调制无关的数据传输。在本推力的射频硬件低开销设计的基础上,数据库辅助频谱接入和分布式频谱接入分别在ThrustII和III中进行了探索。Ii)受Waze启发的数据库辅助频谱共享。与Waze应用程序中的情况相同,数据库用于从智能手机收集频谱使用信息,并响应于个人用户的请求发送实时位置特定使用信息和潜在空闲的频道集。然后,每个用户执行精细化的感知,然后进行数据传输。Iii)受Waze启发的使用量感知分布式频谱共享。Struts III致力于研究分布式频谱共享,即只在附近的智能手机用户之间共享使用信息。四)通过开展包括课程任务和K-12外联在内的各种活动,将研究纳入教育和外联活动。
英文摘要
The past decade has witnessed a skyrocketing demand for commercial wireless spectrum. These sharp increases in mobile traffic (particularly smartphone traffic) are projected to continue in the foreseeable future, creating an urgent need to develop innovative spectrum sensing and sharing technologies. The proposed research is inspired by Waze, a highly successful GPS-based mobile navigation application program that provides real-time traffic information, based on user-submitted travel times and route details. Inspired by Waze, this project is centered around the vision that future generation smartphones will be able to carry out real-time spectrum sensing and sharing of the communication environment, through built-in spectrum sniffers and the help of shared usage information from mobile devices. This research shall enable a paradigm shift from existing cognitive radio design approaches to usage aware spectrum sharing. Innovative implementation of a low-cost integrated broadband RF design for smartphone spectral sniffing, in combination with novel spectrum sharing techniques, will have a compelling and transformative impact in smartphone design and enable efficient spectrum sharing. The educational activities will develop skilled workforce in this area of national need by inspiring and engaging the middle and high school student population in engineering. Built on this vision, this project advocates joint design of radio frequency (RF) hardware and spectrum sensing for smartphones, aiming to enable usage-aware spectrum sharing with minimal dynamic range and power consumption requirements placed on the smartphone hardware. Under this common theme, this project consists of the following research and educational thrusts. I) Low-cost RF architecture for smartphone sensing. Thrust I focuses on low-cost, integrated, broadband RF design for spectrum sensing and data transmission. The spectral sniffer leverages shared usage information to detect RF signals from 1 GHz to 18 GHz with both high dynamic range and sensitivity, and the digital transmitter enables modulation-agnostic data transmission with low handset power consumption. Built on the low-overhead design of RF hardware in this thrust, database assisted spectrum access and distributed spectrum access are explored in Thrusts II and III, respectively. II) Waze-inspired database assisted spectrum sharing. Along the same line as in the Waze application, a database is used to gather spectrum usage information from smartphones, and sends both real-time location-specific usage information and the set of potentially vacant channels in response to the requests from individual users. Each user then carries out refined sensing, followed by data transmissions. III) Waze-inspired usage-aware distributed spectrum sharing. Thrust III is dedicated to study distributed spectrum sharing, where usage information is shared only among smartphone users in the vicinity. IV) Integrate research into education and outreach by performing a diverse set of activities that include curricular tasks and K-12 outreach.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
On Achieving Zero Delay with Power-of-d-Choices Load Balancing
通过 D 选择功率负载均衡实现零延迟
DOI: --
发表时间: 2018
期刊: IEEE International Conference on Computer Communications
影响因子: --
作者: [Liu, Xin, Ying, Lei]
通讯作者: Ying, Lei
CCSS: Collaborative Research: Quality-Aware Distributed Computation for Wireless Federated Learning: Channel-Aware User Selection, Mini-Batch Size Adaptation, and Scheduling
  • 批准号:
    2203238
  • 项目类别:
    Standard Grant
  • 资助金额:
    $22.0万
  • 财政年份:
    2021
  • 负责人:
    Junshan Zhang
  • 依托单位:
Collaborative Research: MLWiNS: Distributed Learning over Multi-Access Channels: From Bandlimited Coordinate Descent to Gradient Sketching
  • 批准号:
    2203412
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2021
  • 负责人:
    Junshan Zhang
  • 依托单位:
NSF-AoF: CNS Core: Small: Reinforcement Learning for Real-time Wireless Scheduling and Edge Caching: Theory and Algorithm Design
  • 批准号:
    2130125
  • 项目类别:
    Standard Grant
  • 资助金额:
    $41.5万
  • 财政年份:
    2021
  • 负责人:
    Junshan Zhang
  • 依托单位:
CPS: Medium: Collaborative Research: Demand Response & Workload Management for Data Centers with Increased Renewable Penetration
  • 批准号:
    2202126
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2021
  • 负责人:
    Junshan Zhang
  • 依托单位:
国内基金
海外基金
基于双稳健共享参数Joint模型的脑卒中早期关键风险因素推断研究
  • 批准号:
    81803337
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    21.0万元
  • 批准年份:
    2018
  • 负责人:
    石福艳
  • 依托单位: