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所在平台: Udemy |
课程主页: https://www.udemy.com/course/cognitive-radio-networks/
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**课程名称：认知无线电网络** **课程概述：** 本课程是一门认知无线电（Cognitive Radio, CR）导论课程。认知无线电是为了应对日益严峻的频谱短缺问题而提出的概念，旨在高效、机会性地利用频谱资源。这是一个新兴的研究领域，对于本科和硕士研究生深入理解其基本概念非常有帮助。随着认知无线电技术的不断发展，该领域涌现出众多研究机会和亟待解决的挑战。特别是在不同约束条件下进行资源分配及其优化，是提升系统性能的关键。本课程适合初学者入门，帮助他们掌握基础概念，并探索不同研究方向。 **课程结构：** 本课程共分为三个部分： * **第一部分：认知无线电导论** * 数字红利 (Digital Dividend) * 认知无线电（CR）架构 * 认知无线电的功能 * 动态频谱接入（Dynamic Spectrum Access, DSA） * 认知无线电的组成部分 * 认知无线电的潜在应用 * **第二部分：频谱感知导论** * 频谱感知技术 * 频谱空洞检测（例如，电视空白频段 TVWS） * 协同感知 * 地理定位数据库 * 频谱共享商业模式（例如，频谱公地，实时次级频谱市场） * 详细讨论并比较各种基于发射机检测的感知技术，包括： * 匹配滤波器（Matched Filter） * 能量检测（Energy Detection） * 循环平稳特征检测（Cyclostationary Feature Detection） * 小波检测（Wavelet Detection） * 分析这些技术的优缺点。 * **第三部分：认知无线电的研究挑战** * 网络层和传输层问题 * 面向认知无线电网络的交叉层设计
This is introductory course on Cognitive Radio. Cognitive Radio is a concept introduced to attack the upcoming spectrum crunch issue and make opportunistic use of spectrum. It is an emerging field. It is useful for BTech & MTech students to understand basic concepts about technology. There are various research opportunities and challenges in Cognitive Radio. The resource allocation & its optimization under various constraints is required to improve system performance. Any researcher who is beginner in this field can start with these basic concepts and explore various research opportunities. This Course is divided into three Sections. Section-1 Covers introduction to Cognitive Radio including Digital dividend, cognitive radio (CR) architecture, functions of cognitive radio, dynamic spectrum access (DSA), components of cognitive radio and potential applications of Cognitive Radio. Section-2 Covers Introduction to Spectrum Sensing including Spectrum sensing techniques, detection of spectrum holes (TVWS), collaborative sensing, geo-location database and spectrum sharing business models (spectrum of commons, real time secondary spectrum market). Transmitter detection based sensing techniques:Matched Filter, Energy Detection, Cyclostationary Feature Detection and Wavelet Detection are discussed in detail and compared with each other in terms of advantages and disadvantages.Section-3 Covers Research Challenges in Cognitive Radio: Network layer and transport layer issues, cross layer design for cognitive radio networks.
