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
基本信息
- 批准号:1547294
- 负责人:
- 金额:$ 65万
- 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
- 起止时间:2015-09-15 至 2019-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
过去十年来,对商业无线频谱的需求飞涨。这些移动流量的急剧增加(尤其是智能手机流量)预计将在可预见的将来持续,从而迫切需要开发创新的频谱感知和共享技术。拟议的研究的灵感来自Waze,这是一项非常成功的基于GPS的移动导航应用程序,该程序基于用户的旅行时间和路线详细信息提供实时流量信息。受Waze的启发,该项目围绕以下愿景,即未来一代智能手机将能够通过内置的频谱嗅探器以及移动设备的共享用法信息进行实时频谱感测和共享通信环境。这项研究应使从现有的认知无线电设计方法转变为使用频谱共享的范式转变。智能手机光谱嗅探的低成本集成宽带RF设计的创新实现,结合新型频谱共享技术,将对智能手机设计产生引人注目的变革性影响,并启用有效的光谱共享。教育活动将通过激发和吸引中学和高中学生的工程群体来发展国家需求的熟练劳动力。该项目以这个愿景为基础,主张射电频率(RF)硬件和频谱感测的联合设计,旨在启用使用智能手机硬件上的最小动态范围和功率消耗要求,以实现吸引使用的频谱共享。在这个共同的主题下,该项目包括以下研究和教育推力。 i)用于智能手机感应的低成本RF体系结构。推力我专注于用于光谱传感和数据传输的低成本,集成的宽带RF设计。光谱嗅觉杠杆共享用法信息,可检测从1 GHz到18 GHz的RF信号,具有高动态范围和灵敏度,并且数字发射机可以使用低手机功率消耗的调制 - 不可能的数据传输。基于RF硬件的低空设计,分别在Therusts II和III中探索了数据库辅助频谱访问和分布式频谱访问。 ii)Waze启发的数据库辅助频谱共享。沿着与Waze应用程序中的同一行,数据库用于从智能手机中收集频谱使用信息,并以实时位置特定的使用信息和一组潜在的空置通道来响应各个用户的请求。然后,每个用户进行精制传感,然后进行数据传输。 iii)Waze启发的用法 - 意识分布式频谱共享。 Thrust III致力于研究分布式频谱共享,在该分布频谱共享中,仅在附近智能手机用户中共享使用信息。 iv)通过执行包括课程任务和K-12外展活动的各种活动来整合教育和外展的研究。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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:
- 影响因子:0
- 作者:Liu, Xin;Ying, Lei
- 通讯作者:Ying, Lei
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Junshan Zhang其他文献
A two-phase utility maximization framework for wireless medium access control
无线媒体访问控制的两阶段效用最大化框架
- DOI:
10.1109/twc.2007.05159 - 发表时间:
2007 - 期刊:
- 影响因子:10.4
- 作者:
D. Zheng;Junshan Zhang - 通讯作者:
Junshan Zhang
Privacy-aware Data Trading(中国计算机学会认定的网络与信息安全领域最高级别的三大A类国际期刊之一,中科院一区TOP,影响因子:7.178)
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:6.8
- 作者:
Shengling Wang;Lina Shi;Junshan Zhang;Xiuzhen Cheng;Jiguo Yu - 通讯作者:
Jiguo Yu
CL-LSG: Continual Learning via Learnable Sparse Growth
CL-LSG:通过可学习的稀疏增长持续学习
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Li Yang;Sen Lin;Junshan Zhang;Deliang Fan - 通讯作者:
Deliang Fan
Networked Information Gathering in Stochastic Sensor Networks: Compressive Sensing, Adaptive Network Coding and Robustness
- DOI:
10.21236/ada590144 - 发表时间:
2013-09 - 期刊:
- 影响因子:0
- 作者:
Junshan Zhang - 通讯作者:
Junshan Zhang
Distributed opportunistic scheduling for ad-hoc communications: an optimal stopping approach
用于临时通信的分布式机会调度:最佳停止方法
- DOI:
10.1145/1288107.1288109 - 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
D. Zheng;Weiyan Ge;Junshan Zhang - 通讯作者:
Junshan Zhang
Junshan Zhang的其他文献
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{{ truncateString('Junshan Zhang', 18)}}的其他基金
CCSS: Collaborative Research: Quality-Aware Distributed Computation for Wireless Federated Learning: Channel-Aware User Selection, Mini-Batch Size Adaptation, and Scheduling
CCSS:协作研究:无线联邦学习的质量感知分布式计算:通道感知用户选择、小批量大小自适应和调度
- 批准号:
2203238 - 财政年份:2021
- 资助金额:
$ 65万 - 项目类别:
Standard Grant
Collaborative Research: MLWiNS: Distributed Learning over Multi-Access Channels: From Bandlimited Coordinate Descent to Gradient Sketching
协作研究:MLWiNS:多访问通道上的分布式学习:从带限坐标下降到梯度草图
- 批准号:
2203412 - 财政年份:2021
- 资助金额:
$ 65万 - 项目类别:
Standard Grant
NSF-AoF: CNS Core: Small: Reinforcement Learning for Real-time Wireless Scheduling and Edge Caching: Theory and Algorithm Design
NSF-AoF:CNS 核心:小型:实时无线调度和边缘缓存的强化学习:理论和算法设计
- 批准号:
2130125 - 财政年份:2021
- 资助金额:
$ 65万 - 项目类别:
Standard Grant
CPS: Medium: Collaborative Research: Demand Response & Workload Management for Data Centers with Increased Renewable Penetration
CPS:媒介:协作研究:需求响应
- 批准号:
2202126 - 财政年份:2021
- 资助金额:
$ 65万 - 项目类别:
Standard Grant
NSF-AoF: CNS Core: Small: Reinforcement Learning for Real-time Wireless Scheduling and Edge Caching: Theory and Algorithm Design
NSF-AoF:CNS 核心:小型:实时无线调度和边缘缓存的强化学习:理论和算法设计
- 批准号:
2203239 - 财政年份:2021
- 资助金额:
$ 65万 - 项目类别:
Standard Grant
CCSS: Collaborative Research: Quality-Aware Distributed Computation for Wireless Federated Learning: Channel-Aware User Selection, Mini-Batch Size Adaptation, and Scheduling
CCSS:协作研究:无线联邦学习的质量感知分布式计算:通道感知用户选择、小批量大小自适应和调度
- 批准号:
2121222 - 财政年份:2021
- 资助金额:
$ 65万 - 项目类别:
Standard Grant
Collaborative Research: MLWiNS: Distributed Learning over Multi-Access Channels: From Bandlimited Coordinate Descent to Gradient Sketching
协作研究:MLWiNS:多访问通道上的分布式学习:从带限坐标下降到梯度草图
- 批准号:
2003081 - 财政年份:2020
- 资助金额:
$ 65万 - 项目类别:
Standard Grant
CPS: Medium: Collaborative Research: Demand Response & Workload Management for Data Centers with Increased Renewable Penetration
CPS:媒介:协作研究:需求响应
- 批准号:
1739344 - 财政年份:2017
- 资助金额:
$ 65万 - 项目类别:
Standard Grant
TWC SBE: Small: Towards an Economic Foundation of Privacy-Preserving Data Analytics: Incentive Mechanisms and Fundamental Limits
TWC SBE:小型:迈向隐私保护数据分析的经济基础:激励机制和基本限制
- 批准号:
1618768 - 财政年份:2016
- 资助金额:
$ 65万 - 项目类别:
Standard Grant
An Exchange Market Approach for Mobile Crowdsensing
移动群智感知的交易市场方法
- 批准号:
1408409 - 财政年份:2014
- 资助金额:
$ 65万 - 项目类别:
Standard Grant
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