EARS: Collaborative Research: Intelligence Measure of Cognitive Radio Networks

频谱共享的研究产生了大量的频谱测量数据和多种频谱共享技术。由于在存在频谱不确定性的情况下，认知能力是优化频谱效率和保证安全共存所必需的，因此大多数技术都是基于认知无线电网络（crn）。这些认知能力共同定义了crn的智能。虽然认知和智力对神经网络至关重要，但它们的定量规范在很大程度上是开放的。该项目通过开发一个框架来定量研究crn的认知能力和智力，解决了这个悬而未决的问题。本项目发展了理论方法和实证方法来构建CRN智能模型。这个模型的灵感来自于卡特尔-霍恩-卡罗尔的人类智力模型。另一方面，这种开创性的理论方法与传统的以实证为主的人类智能研究形成鲜明对比。此外，本项目开发了一个CRN测试电池，以测量智力作为CRN IQ（智商）遵循心理测量的做法。最后，该项目启动了基于iq的多跳路由和基于iq的拒绝服务攻击免疫的创新研究，其中开发了创新的CRN技术，旨在增强重要的认知能力。本项目采用大数据方法，挖掘大量现有频谱测量数据和CRN研究成果。心理测量技术被用来解决大数据应用中涉及的挑战。该项目通过加速频谱共享技术的商业成功来影响社会。它整合了三个传统上完全不同的领域：无线通信、心理学和大数据。构建智能测度的框架对认知计算、认知控制、认知雷达等系统具有重要的应用价值。该项目提高了频谱测量数据的价值，为大数据利用开辟了新的方向。该项目在许多方面影响着教育，例如通过人类智能类比激发学生的研究，通过CRN测试电池支持实践课程，建立CRN智商竞赛项目，以及向代表性不足的学生和高中生伸出援手。该项目通过加速频谱共享技术的商业成功来影响社会。它整合了三个传统上完全不同的领域：无线通信、心理学和大数据。构建智能测度的框架对认知计算、认知控制、认知雷达等系统具有重要的应用价值。该项目提高了频谱测量数据的价值，为大数据利用开辟了新的方向。该项目在许多方面影响着教育，例如通过人类智能类比激发学生的研究，通过CRN测试电池支持实践课程，建立CRN智商竞赛项目，以及向代表性不足的学生和高中生伸出援手。

Research on spectrum sharing has generated a large amount of spectrum measurement data and many spectrum sharing techniques. Most of the techniques are based on cognitive radio networks (CRNs) because the cognition capability is necessary for optimizing spectrum efficiency and guaranteeing safe coexistence in the presence of the spectrum uncertainty. Such cognitive capabilities collectively defines the intelligence of CRNs. Although cognition and intelligence are vital for CRNs, their quantitative specification is largely open. This project addresses this open question by developing a framework for investigating quantitatively the cognitive capabilities and the intelligence of CRNs. This project develops both a theoretical approach and an empirical approach to construct a CRN intelligence model. This model is inspired from the Cattell-Horn-Carroll human intelligence model. On the other hand, the pioneering theoretical approach is in sharp contrast to conventional human intelligence research that is mainly empirical. In addition, this project develops a CRN testing battery to measure the intelligence as CRN IQ (intelligence quotient) following psychometric practices. Finally, this project initiates innovative research in IQ-based multi-hop routing and IQ-based immunity to Denial-of-Service attacks, where innovative CRN techniques are developed with the aim of enhancing important cognitive capabilities. This project adopts a big data approach to exploit the vast amount of existing spectrum measurement data and CRN research results. Psychometric techniques are exploited to resolve challenges involved in this big data application.This project impacts society by expediting the commercial success of spectrum sharing technology. It integrates three traditionally disparate areas: wireless communications, psychology, and big data. The framework for constructing intelligence measure is useful to many other systems such as cognitive computing, cognitive control and cognitive radar. This project enhances the value of the spectrum measurement data and leads to a new direction for big data utilization. This project impacts education in many aspects, such as stimulating student research via the human intelligence analogy, supporting hands-on curriculum with the CRN testing battery, setting up CRN IQ competition projects, and outreaching to under-represented students and high school students.This project impacts society by expediting the commercial success of spectrum sharing technology. It integrates three traditionally disparate areas: wireless communications, psychology, and big data. The framework for constructing intelligence measure is useful to many other systems such as cognitive computing, cognitive control and cognitive radar. This project enhances the value of the spectrum measurement data and leads to a new direction for big data utilization. This project impacts education in many aspects, such as stimulating student research via the human intelligence analogy, supporting hands-on curriculum with the CRN testing battery, setting up CRN IQ competition projects, and outreaching to under-represented students and high school students.