Collaborative Research: EARS: Creating an Ecosystem for Enhanced Spectrum Utilization Through Dynamic Market Mechanisms

对使用智能手持设备的互联网接入的需求激增，导致了大量应用程序和设备的出现，这些应用程序和设备具有不同的要求和功能。 然而，用于调度蜂窝资源的基础策略针对平均或最坏情况性能进行优化，并且不允许终端用户在分组级别上指示资源的相对值。 同时，很明显，虽然有无限的蜂窝数据计划的带宽资源不足，降级后，超过一定的限制访问的流行计划是既不受欢迎和低效的，这个项目的主要目标是弥合用户的喜好和分配的资源之间的脱节，通过使用动态的市场机制，允许随着时间的推移，数据包级别的价值确定。其目的是研究服务提供商向最终用户出售网络接入的主要市场，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。在这样做的同时，该项目确定了这种数据包规模的交易对市场的激励和效率在一个长的时间尺度，数据包聚合水平的影响。 该项目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，这将内在地考虑用户的偏好和估值。 项目执行人将制定一个分析框架，用于设计动态的市场机制，这种机制将隐含地允许确定在各种代理人之间分配和交易资源的价值。 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。 将通过在智能手机测试台上进行的实验来测试所开发的动态市场机制，以便更好地了解现实世界的影响。 这三个项目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？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，重点是适合高中学生的电气工程概念。

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.