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

• 批准号: 1443891
• 负责人: Srinivas Shakkottai
• 金额: $ 25.2万
• 依托单位: Texas A&M Engineering Experiment Station
• 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: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1443891&HistoricalAwards=false
• 关键词: Collaborative; Research; EARS; Creating; Ecosystem

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.

使用智能手持设备访问互联网的需求激增，导致出现了大量具有不同要求和功能的应用程序和设备。 然而，用于调度蜂窝资源的底层策略针对平均或最坏情况性能进行了优化，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，虽然没有足够的带宽资源用于无限制的蜂窝数据计划，但超过一定限制后降低访问权限的流行方案既不受欢迎且效率低下。该项目的主要目标是弥合用户之间的脱节通过使用动态市场机制来进行偏好和分配资源，该机制允许随着时间的推移确定数据包级别的价值。目标是研究服务提供商向最终用户出售网络访问的一级市场，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。在此过程中，该项目确定了这种数据包规模交易在长期、数据包聚合水平上对市场激励和效率的影响。 该项目朝着无线通信网络资源共享动态机制的系统设计迈出了重要一步，该机制本质上考虑了用户偏好和评价。 PI 将开发一个分析框架，用于设计基于市场的动态机制，该机制将隐含地允许确定不同主体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）单边市场中的价值识别和资源调度； 2）通过双边市场利用最终用户资源； 3) 政策和供应决策。 所开发的动态市场机制将通过在智能手机测试台上进行的实验进行测试，以便更好地了解现实世界的影响。 所有三位 PI 都大量参与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的能力？接触网络控制、博弈论和优化。 该项目将通过研讨会和夏令营向公众传播成果，重点关注适合高中水平学生的电气工程概念。