ECCS - EARS: Collaborative Research: Enhanced Radio Spectrum via Information Acquisition and Learning
ECCS - EARS:协作研究:通过信息获取和学习增强无线电频谱
基本信息
- 批准号:1247995
- 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:2012
- 资助国家:美国
- 起止时间:2012-10-01 至 2015-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This research focuses on the problem of information acquisition in the context of spectrum sensing and utilization where a (set of) decision maker(s), by carefully controlling a sequence of actions with uncertain outcomes, dynamically refines his/her belief about stochastically time-varying parameters of interest such as spectrum availability and quality, in order to communicate over that spectrum as efficiently as possible.The research represents a new theoretical framework for stochastic learning and decision-making in such settings termed Information Acquisition and Utilization Problems (IAUP). Motivated by a synthesis of the researchers' prior works on adaptive sampling, active hypothesis testing, and restless multi-armed bandits, this framework is particularly apt for problems of spectrum sensing and access for several reasons. First, unlike more general stochastic control frameworks such as partially observable Markov decision problems (POMDP's), the IAUP is a purely informational problem in that the actions of the decision maker change only its information state, but not the state of the underlying environment (spectrum quality). Second, in an IAUP there is a conceptual distinction between two kinds of actions: those taken to obtain/refine the information state, and those taken to utilize the current information state, potentially allowing for tractable solutions in many cases where a separation theorem can be proved between these two sets. Finally, an IAUP can explicitly capture the tradeoff between the cost of spectrum sensing and the accuracy and completeness of the information that can be obtained.
本研究的重点是频谱感知和利用背景下的信息获取问题,其中(一组)决策者通过仔细控制一系列具有不确定结果的行动,动态地改进他/她对随机时变的感兴趣参数(如频谱可用性和质量)的信念,以便在该频谱上尽可能有效地进行通信。该研究为这种环境下的随机学习和决策提供了一个新的理论框架,称为信息获取和利用问题(IAUP)。由于综合了研究人员先前在自适应采样、主动假设检验和不稳定的多臂强盗方面的工作,该框架特别适用于频谱感知和访问问题,原因有几个。首先,与部分可观察马尔可夫决策问题(POMDP)等更一般的随机控制框架不同,IAUP是一个纯粹的信息问题,因为决策者的行为只改变其信息状态,而不改变底层环境的状态(频谱质量)。其次,在IAUP中,两种操作之间存在概念上的区别:用于获取/改进信息状态的操作,以及用于利用当前信息状态的操作,在许多可以在这两组之间证明分离定理的情况下,潜在地允许可处理的解决方案。最后,IAUP可以明确地捕获频谱感知成本与可以获得的信息的准确性和完整性之间的权衡。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Tara Javidi其他文献
Combining Optical Coherence Tomography and Optical Coherence Tomography Angiography Longitudinal Data for the Detection of Visual Field Progression in Glaucoma
结合光学相干断层扫描和光学相干断层扫描血管造影纵向数据用于检测青光眼视野进展
- DOI:
10.1016/j.ajo.2022.10.016 - 发表时间:
2023-02-01 - 期刊:
- 影响因子:4.200
- 作者:
Alireza Kamalipour;Sasan Moghimi;Pooya Khosravi;Vahid Mohammadzadeh;Takashi Nishida;Eleonora Micheletti;Jo-Hsuan Wu;Golnoush Mahmoudinezhad;Elizabeth H.F. Li;Mark Christopher;Linda Zangwill;Tara Javidi;Robert N. Weinreb - 通讯作者:
Robert N. Weinreb
A General Framework for Approximate and Delayed Gradient Descent for Decomposable Cost Functions
可分解成本函数的近似和延迟梯度下降的通用框架
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:3
- 作者:
Xinran Zheng;Tara Javidi;B. Touri - 通讯作者:
B. Touri
Competing Bandits in Non-Stationary Matching Markets
非平稳匹配市场中的竞争强盗
- DOI:
10.1109/tit.2024.3352228 - 发表时间:
2024 - 期刊:
- 影响因子:2.5
- 作者:
A. Ghosh;Abishek Sankararaman;K. Ramchandran;Tara Javidi;Arya Mazumdar - 通讯作者:
Arya Mazumdar
Perampanel-Induced Psychotic Disorder : a case report
吡仑帕奈诱发的精神障碍:病例报告
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Xinran Zheng;Tara Javidi;B. Touri - 通讯作者:
B. Touri
Tara Javidi的其他文献
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{{ truncateString('Tara Javidi', 18)}}的其他基金
RINGS: LARA: Layering for Active Resiliency and Awareness in Next-generation Wireless Networks
RINGS:LARA:下一代无线网络中的主动弹性和感知分层
- 批准号:
2148313 - 财政年份:2022
- 资助金额:
$ 25万 - 项目类别:
Continuing Grant
CIF: Medium: Collaborative Research: Feedback Communication: Models, Designs, and Fundamental Limits
CIF:媒介:协作研究:反馈沟通:模型、设计和基本限制
- 批准号:
1513883 - 财政年份:2015
- 资助金额:
$ 25万 - 项目类别:
Continuing Grant
CIF: Medium: Collaborative Research: Nonasymptotic Analysis of Feature-Rich Decision Problems with Applications to Computer Vision
CIF:媒介:协作研究:特征丰富的决策问题的非渐近分析及其在计算机视觉中的应用
- 批准号:
1302588 - 财政年份:2013
- 资助金额:
$ 25万 - 项目类别:
Continuing Grant
CPS: Synergy: Collaborative Research: Event-Based Information Acquisition, Learning, and Control in High-Dimensional Cyber-Physical Systems
CPS:协同:协作研究:高维网络物理系统中基于事件的信息获取、学习和控制
- 批准号:
1329819 - 财政年份:2013
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
CIF: Small: Collaborative Research: Inference by Social Sampling
CIF:小型:协作研究:社会抽样推断
- 批准号:
1217619 - 财政年份:2012
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
CIF: Small: Controlling Uncertainty: On the Sequential Refinement of Belief
CIF:小:控制不确定性:关于信念的顺序完善
- 批准号:
1018722 - 财政年份:2010
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
Collaborative Research: New Communication Infrastructures For Networked Coordinated Control
协作研究:网络协调控制的新型通信基础设施
- 批准号:
0729060 - 财政年份:2007
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
CAREER: Cross-Layer Integrated Protocol Design for Broadband Wireless Data Networks: A Microeconomic Approach
职业:宽带无线数据网络的跨层集成协议设计:微观经济学方法
- 批准号:
0533035 - 财政年份:2005
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
CAREER: Cross-Layer Integrated Protocol Design for Broadband Wireless Data Networks: A Microeconomic Approach
职业:宽带无线数据网络的跨层集成协议设计:微观经济学方法
- 批准号:
0347961 - 财政年份:2004
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
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