EARS: Collaborative Research: Crowdsourcing-Based Spectrum Etiquette Enforcement in Dynamic Spectrum Access

EARS：协作研究：动态频谱访问中基于众包的频谱礼仪执行

• 批准号: 1444076
• 负责人: Ming Li
• 金额: $ 36万
• 依托单位: Utah State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-01-01 至 2016-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1444076&HistoricalAwards=false
• 关键词: EARS; Collaborative; Research; Crowdsourcing; Based

The radio spectrum is becoming an increasingly valuable natural resource nowadays, while it has been shown that much of the spectrum is underutilized in existing licensed bands. To enhance spectrum utilization, dynamic spectrum access (DSA) has been envisioned as a set of promising new spectrum management paradigms, such as spectrum trading/auction and opportunistic spectrum access. While DSA and programmable cognitive radios enable a much higher flexibility of spectrum access, due to the openness of wireless medium, it is also susceptible to various forms of misuse or abuse. For example, unauthorized transmissions without a valid license, or secondary transmissions that intentionally disobey the interference constraints set by the primary users (radios). The misusers will not only gain higher throughput for themselves, but also harm the efficiency of spectrum access operations of normal users (radios). Therefore, enforcing spectrum access rules or etiquettes is crucial to ensuring the ultimate success of the DSA paradigm. This project develops a framework for etiquette and rule enforcing in dynamic spectrum sharing environments. The main idea of the proposed research is to engage community users (radios) to detect misuse, and identify and punish unruly devices. By crowdsourcing the tasks of monitoring neighborhood radio access behaviors to many cognitive radio devices, multiple benefits can be gained: 1) the potentially large number of participating devices can result in much larger detection coverage and accuracy; 2) no pervasive dedicated trusted infrastructure or hardware is needed; and 3) the fact that every device could possibly be a monitoring device leads to a much stronger deterrence to misbehaviors. The interdisciplinary research plan consists of four major components: 1) an optimized crowdsourced passive radio traffic monitoring framework to detect access misbehavior in the vast DSA spectrum; 2) techniques to identify misbehaving cognitive radio devices using physical layer identification, even when the signal waveform can be adaptively modified; 3) techniques for immediate punishment of spectrum misuse through adaptive friendly jamming which exploits multi-functional re-configurable antennas; and 4) incentive mechanism design via auctions to ensure user participation in each task of crowdsourced etiquette enforcement. The success of this project will benefit multiple current and future application domains deploying DSA, especially those that require critical information protection, such as healthcare, transportation, energy, public services, emergency, and military services.

无线电频谱如今正成为越来越有价值的自然资源，同时已经表明，在现有的许可频带中，大部分频谱未得到充分利用。为了提高频谱利用率，动态频谱接入（DSA）已被设想为一组有前途的新的频谱管理范例，如频谱交易/拍卖和机会主义频谱接入。虽然DSA和可编程认知无线电实现了更高的频谱接入灵活性，但由于无线介质的开放性，它也容易受到各种形式的误用或滥用。例如，没有有效许可证的未经授权的传输，或故意违反主用户（无线电）设置的干扰约束的二次传输。滥用者不仅会为自己获得更高的吞吐量，而且会损害正常用户（无线电）的频谱接入操作的效率。因此，实施频谱接入规则或礼仪对于确保DSA范例的最终成功至关重要。这个项目开发了一个在动态频谱共享环境中执行礼仪和规则的框架。拟议研究的主要思想是让社区用户（无线电）检测滥用，识别和惩罚不守规矩的设备。通过将监测邻居无线电接入行为的任务众包给许多认知无线电设备，可以获得多个益处：1）潜在的大量参与设备可以导致大得多的检测覆盖范围和准确性; 2）不需要普适的专用可信基础设施或硬件;以及3）每个设备都可能是监视设备的事实导致对不当行为的更强的威慑。该跨学科研究计划包括四个主要组成部分：1）优化的众包被动无线电流量监测框架，以检测在广阔的DSA频谱中的接入不当行为; 2）使用物理层识别来识别行为不当的认知无线电设备的技术，即使信号波形可以自适应修改; 3）通过利用多功能可重新配置天线的自适应友好干扰来立即惩罚频谱滥用的技术; 4）通过拍卖的方式设计激励机制，保证用户参与众包礼仪执行的各项任务。该项目的成功将使部署DSA的多个当前和未来应用领域受益，特别是那些需要关键信息保护的领域，如医疗保健、交通、能源、公共服务、应急和军事服务。