EARS: Accelerating Spectrum Access in Cognitive Radio Networks via Social Analysis of Secondary Users

认知无线电网络（CRN）中用户接入频谱的一个基本操作是信道会合。在建立会合之后，用户之间的信道信息交换和传播对于有效的频谱接入也是必不可少的。现有的研究信道会合在CRN有局限性，是不适合有效的接入场景。关于用户的附加信息可以帮助在CRN中生成可以缩短频谱接入延迟的智能设计。然而，由于实际的限制，在确定会合之前，很难获得这种信息。挖掘CR用户（或二级用户，SU）的社会模式，并智能地利用捕获的社会信息是一种很有前途的方法。本计画的目标是设计、分析与评估快速且有效的频谱存取方案，以供无共用控制频道的CRN使用。这项工作的一个独特之处是考虑SU的社会模式，并纳入社会分析，以提高频谱接入效率。该方法包括分析SU的时间，位置和频谱相关的社会模式;识别和解决新的挑战，在信道会合，安全性和建议的设计与SU社会分析的协助下;并积极利用社会模式的SU完全分布式的快速和安全的频谱接入设计。该项目将对有效的频谱接入产生重大影响。用户的社会分析是进一步提高频谱接入效率和加速CRN部署的关键组成部分。这种跨学科的研究具有潜在的变革性，因为它将有助于为众多CRN应用产生创新技术。它还将大大增强对无线网络中移动的用户社交互动的理解。该项目为研究生和本科生研究生提供了一个极好的机会，以获得宝贵的教育培训和研究经验。研究成果将在IEEE/ACM期刊和国际会议上发表。

A fundamental operation for users in cognitive radio networks (CRNs) to access the spectrum is channel rendezvous. After rendezvous is established, channel information exchange and propagation among users are also essential for efficient spectrum access. Existing studies on channel rendezvous in CRNs have limitations and are unsuitable for efficient access scenarios. Additional information about users can help generate intelligent designs in CRNs that can shorten spectrum access delay. However, due to practical constraints, such information is extremely difficult to obtain before rendezvous is established. Mining the social patterns of CR users (or secondary users, SUs) and intelligently utilizing the captured social information is a promising approach. The objective of this project is to design, analyze, and evaluate fast and efficient spectrum access schemes for CRNs without a common control channel. One unique feature of this work is the consideration of SU social patterns and the incorporation of social analysis to enhance spectrum access efficiency. The approach involves analyzing the time, location, and spectrum-dependent social patterns of SUs; identifying and addressing new challenges in channel rendezvous, security, and recommendation designs with the assistance of SU social analysis; and proactively utilizing social patterns of SUs for fully distributed fast and secure spectrum access design. This project will have a significant impact on efficient spectrum access. Social analysis of users is a critical component to further enhance spectrum access efficiency and accelerate CRN deployment. This interdisciplinary research is potentially transformative as it will help generate innovative techniques to numerous CRN applications. It will also greatly enhance the understanding of social interactions of mobile users in wireless networks. This project provides an excellent opportunity for graduate and undergraduate research students to gain valuable educational training and research experiences. The research results will be presented at IEEE/ACM journals and international conferences.