Collaborative Research:EARS: Creating an Ecosystem for Enhanced Spectrum Utilization Through Dynamic Market Mechanisms.
合作研究:EARS:通过动态市场机制创建增强频谱利用率的生态系统。
基本信息
- 批准号:1443965
- 负责人:
- 金额:$ 17.3万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-09-15 至 2018-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The surge in demand for Internet access using smart hand held devices has resulted in the emergence of a multitude of apps and devices, which have diverse requirements and capabilities. However, underlying policies for scheduling cellular resources are optimized for average or worst case performance, and do not allow end-users to indicate the relative value of resources on the packet level. Simultaneously, it has become clear that while there are insufficient bandwidth resources for unlimited cellular data plans, the prevailing scheme of degrading access after a certain limit is exceeded is both unpopular and inefficient.The main goal of this project is to bridge the disconnects between user preferences and allocated resources by the use of dynamic market mechanisms that allow for packet-level value determination over time. The objective is to study both primary markets in which service providers sell network access to end-users, as well as secondary markets in which end-users share resources via hot spots and device-to-device networking. While doing so, the project identifies the impact of such packet-scale transactions on the incentives and efficiency of the market at a long time-scale, packet-aggregate level. The project takes an important step towards the systematic design of dynamic mechanisms for resource sharing in wireless communication networks, which would innately account for user preferences and valuations. The PIs will develop an analytical framework for designing dynamic market-based mechanisms that would implicitly allow the determination of the value of allocating and trading resources among various agents. The research is organized into three inter-dependent areas: 1) Value Identification and Resource Scheduling in Single-Sided Markets; 2) Utilizing End-User Resources through Two-sided Markets; 3) Policy and Provisioning Decisions. The dynamic market mechanisms that are developed will be tested via experiments conducted on a smart phone test bed in order to better understand real-world implications. All three PIs are heavily involved in the education and training of graduate and undergraduate students, and the proposed work will further strengthen the students? exposure to network control, game theory and optimization. The project will disseminate results to the public through seminars and summer camps focusing on electrical engineering concepts appropriate for high school level students.
使用智能手持设备对Internet访问的需求激增导致出现了许多应用程序和设备,这些应用程序和设备具有不同的要求和功能。 但是,针对平均情况或最坏情况的表现,针对蜂窝资源进行调度的基本策略将被优化,并且不允许最终用户在数据包级别上指示资源的相对价值。 同时,很明显,尽管没有足够的带宽资源来用于无限的蜂窝数据计划,但超过一定限制后降级访问的普遍访问方案既毫无疑问又效率低下。该项目的主要目标是弥合通过使用动态市场机械的用户偏好和分配的资源之间的分配资源,以确定电位的价值,以确定有价值的价值。目的是研究两个主要市场,在其中服务提供商将网络访问向最终用户出售,以及最终用户通过热点和设备到设备网络共享资源的二级市场。在这样做的同时,该项目确定了这些数据包级交易对长期尺度的数据包聚集水平的市场激励措施和效率的影响。 该项目迈出了重要的一步,朝着无线通信网络中资源共享的动态机制的系统设计迈出了重要的一步,这将天生考虑用户的偏好和估值。 PI将开发一个分析框架,用于设计基于市场的动态机制,该机制将隐含地确定各种代理之间分配和交易资源的价值。 该研究分为三个相互依赖的领域:1)单面市场中的价值识别和资源调度; 2)通过双面市场利用最终用户资源; 3)政策和准备决定。 开发的动态市场机制将通过在智能手机测试床上进行的实验进行测试,以便更好地了解现实世界的影响。 这三个PI都大量参与了研究生和本科生的教育和培训,拟议的工作将进一步加强学生?接触网络控制,游戏理论和优化。 该项目将通过研讨会和夏令营向公众传播结果,重点是适合高中学生的电气工程概念。
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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Thanh Nguyen其他文献
Unified selective sorting approach to analyse multi-electrode extracellular data
统一选择性排序方法分析多电极细胞外数据
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:4.6
- 作者:
R. Veerabhadrappa;Chee Peng Lim;Thanh Nguyen;Michael Berk;S. Tye;P. Monaghan;S. Nahavandi;A. Bhatti - 通讯作者:
A. Bhatti
Automatic phase aberration compensation for digital holographic microscopy based on deep learning background detection
- DOI:
10.1364/oe.25.015043 - 发表时间:
2017-06-26 - 期刊:
- 影响因子:3.8
- 作者:
Thanh Nguyen;Vy Bui;Nehmetallah, George - 通讯作者:
Nehmetallah, George
T2API: Synthesizing API Code Usage Templates from English Texts with Statistical Translation
- DOI:
10.1145/2950290.2983931 - 发表时间:
2016-01-01 - 期刊:
- 影响因子:0
- 作者:
Thanh Nguyen;Rigby, Peter C.;Nguyen, Tien N. - 通讯作者:
Nguyen, Tien N.
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery
- DOI:
10.1109/syscon.2019.8836924 - 发表时间:
2019-01-01 - 期刊:
- 影响因子:0
- 作者:
Ngoc Duy Nguyen;Thanh Nguyen;Guest, Glenn - 通讯作者:
Guest, Glenn
Information Sharing in Logistics Firms: An Exploratory Study of theVietnamese Logistics Sector
物流企业的信息共享:越南物流业的探索性研究
- DOI:
10.1016/j.ajsl.2019.06.001 - 发表时间:
2019 - 期刊:
- 影响因子:3.1
- 作者:
Hiep;Thanh Nguyen;Scott Mcdonald;Nhu Quynh Tran - 通讯作者:
Nhu Quynh Tran
Thanh Nguyen的其他文献
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- 批准号:
2341853 - 财政年份:2023
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全球中心轨道 2:气候风险和复原力:东南亚作为一个活的实验室 (SEALL)
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1559530 - 财政年份:2016
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