EAGER: SC2: Efficient, Collaborative Spectrum Sharing through a Systems and Optimal Control Approach

EAGER：SC2：通过系统和最优控制方法实现高效、协作的频谱共享

基本信息

批准号：
1737989
负责人：
Bernd-Peter Paris
金额：
$ 10万
依托单位：
George Mason University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-04-01 至 2019-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1737989&HistoricalAwards=false
关键词：
EAGER SC2 Efficient Collaborative Spectrum

项目摘要

Currently radio spectrum is partitioned into fixed bands that are available only to licensed users. The low utilization of these bands, coupled with exponentially increasing demand, has led to the problem of spectrum scarcity for wireless access. Work on this award is expected to yield paradigm-shifting innovations that will achieve significantly higher spectrum utilization by facilitating dynamic sharing of spectrum among different wireless networks and users. The research will inform public policy on spectrum allocation, lead to better quality of service and faster Internet access for wireless users, and enable new multimedia applications. Students, particularly those from underrepresented groups, will acquire hands-on experience with cutting edge wireless technologies.The work on this award has two unique research directions that are expected to have significant impact. First, a systems and optimal control approach to collaborative spectrum sharing will be developed. This approach relies on cooperative decision making among all components of the solution (e.g., spectrum sensing, communication, reasoning, and control); all decisions made within the system are mindful of the overall system objective. In order to achieve broadly cooperative decision making, new ideas from event-triggered and self-triggered control will be used. Rather than periodically updating control signals, these control frameworks introduce decision making when signals should be updated and when new information should be obtained, respectively. Second, the use of trust establishment schemes will be investigated, with the explicit goal of incentivizing collaboration among networks. As part of this research task, a trust, or reputation, metric will developed, along with tunable algorithms that maximize the balanced score between internal network performance and global network performance. The proposed research on spectrally efficient communications and radio environment understanding will also be critically important for enabling collaboration in the spectrum domain.

目前，无线电频谱被划分为固定频段，仅适用于获得许可的用户。这些频段利用率低，加上需求呈指数级增长，导致了无线接入频谱稀缺的问题。该奖项的工作预计将产生范式转变的创新，通过促进不同无线网络和用户之间的动态频谱共享，显着提高频谱利用率。该研究将为频谱分配的公共政策提供信息，为无线用户带来更好的服务质量和更快的互联网接入，并实现新的多媒体应用。学生，特别是来自代表性不足群体的学生，将获得尖端无线技术的实践经验。该奖项的工作有两个独特的研究方向，预计将产生重大影响。首先，将开发协作频谱共享的系统和最佳控制方法。这种方法依赖于解决方案所有组件（例如频谱感知、通信、推理和控制）之间的协作决策；系统内做出的所有决策都会考虑整个系统的目标。为了实现广泛的合作决策，将使用事件触发和自触发控制的新思想。这些控制框架不是定期更新控制信号，而是分别引入何时应更新信号和何时应获取新信息的决策。其次，将研究信任建立方案的使用，其明确目标是激励网络之间的协作。作为这项研究任务的一部分，将开发信任或声誉指标，以及可最大化内部网络性能和全局网络性能之间的平衡分数的可调算法。拟议的关于频谱效率通信和无线电环境理解的研究对于实现频谱领域的协作也至关重要。