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CNS Core: Small: Next Generation Tiered Spectrum Licensing

CNS 核心：小型：下一代分层频谱许可

基本信息

批准号：
2007454
负责人：
Koushik Kar
金额：
$ 42.84万
依托单位：
Rensselaer Polytechnic Institute
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2007454&HistoricalAwards=false
关键词：
CNS Core Small Next Generation

项目摘要

Wireless mobile broadband is a key driver for innovation and economic growth. Sustaining this growth is challenging and requires both technological and regulatory innovations that increase the wireless spectrum utilization, in order to be able to accommodate more data traffic within the finite spectrum resource. The exponential increase in traffic demand is expected to continue with the deployment of 5G networks and beyond, hence placing additional challenges that need innovative solutions. Despite more than a decade of intense research activity on dynamic spectrum sharing, there are still fundamental open questions regarding spectrum policies and their impact on spectrum utilization. This project helps meet these challenges, by providing tools and mathematical foundations that enable regulators, and the research community, to understand and design efficient spectrum sharing policies leading to wireless broadband networks that are more capable of carrying more traffic than what is envisioned today. In addition, the project designs new education courses and material that prepare the next generation of the workforce to design and operate such high-performance networks. It also includes activities to reach-out to K-12 students and increase the number and diversity of US citizens in science and engineering, which is essential for sustained economic growth and prosperity.The intellectual merit of this proposal is that it develops a stochastic modeling and optimization approach to study the techno-economic aspects of spectrum licensing policies, with a focus on layered/tiered licensing architectures. In this approach, the revenue processes and customer demands are modeled as stochastic processes. A regulator is modeled as an entity that attempts to set spectrum policies that maximize spectrum utilization given various levels of knowledge, or lack thereof, of the stochastic and complex dynamics of the market. This sets up a stochastic optimization framework that makes it possible to compare different spectrum regulatory policies as a function of the market. In addition, it also characterizes the optimal values of the parameters of the spectrum policies that achieve the optimal (maximum) spectrum utilization for a given market. It also provides real-time randomized algorithms for operators to optimize their spectrum portfolios without prior knowledge of the market/spectrum dynamics. Thus this framework captures both regulator and operator perspectives. The research provides tools to enable regulators, and the research community, to explore "what-if" licensing policies, which is currently not possible except through primarily qualitative and subjective case/empirical studies. The plan includes extensive validations and comparisons against publicly available data sets and simulations.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

无线移动的宽带是创新和经济增长的关键驱动力。维持这种增长具有挑战性，需要技术和监管创新来提高无线频谱利用率，以便能够在有限的频谱资源内容纳更多的数据流量。随着5G网络及以后的部署，流量需求的指数级增长预计将继续下去，因此带来了需要创新解决方案的额外挑战。尽管对动态频谱共享的研究已经进行了十多年，但关于频谱政策及其对频谱利用的影响，仍然存在一些基本的悬而未决的问题。该项目通过提供工具和数学基础来帮助应对这些挑战，这些工具和数学基础使监管机构和研究界能够理解和设计高效的频谱共享政策，从而使无线宽带网络能够承载比今天设想的更多的流量。此外，该项目还设计了新的教育课程和材料，为下一代劳动力设计和操作此类高性能网络做好准备。它还包括活动，以达到K-12学生和增加美国公民的数量和多样性的科学和工程，这是必不可少的可持续的经济增长和繁荣。这一建议的智力价值是，它开发了一个随机建模和优化方法来研究频谱许可政策的技术经济方面，重点是分层/分层许可架构。在这种方法中，收入过程和客户需求被建模为随机过程。监管机构被建模为一个实体，试图设置频谱政策，最大限度地提高频谱利用率给定的各种知识水平，或缺乏其随机和复杂的动态市场。这建立了一个随机优化框架，使得可以比较不同的频谱监管政策作为市场的函数。此外，它还表征了最佳值的频谱政策，实现最佳（最大）的频谱利用率为给定的市场的参数。它还为运营商提供实时随机算法，以优化其频谱组合，而无需事先了解市场/频谱动态。因此，这一框架涵盖了监管机构和运营商的观点。这项研究提供了工具，使监管机构和研究界，探讨“假设”的许可证政策，这是目前不可能的，除非通过主要是定性和主观的案例/实证研究。该计划包括对公开数据集和模拟的广泛验证和比较。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。