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Overview of Key Technologies of Data Transmission in Complex Cognitive Wireless Networks

机译:复杂认知无线网络中数据传输关键技术概述

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This paper takes the application of complex network theory approach in cognitive wireless networks as the basic background, and discusses the key technologies of cognitive wireless networks based on complex network theory. The basic goal is to optimize the cognitive wireless network's end-to-end performance. This paper aims at the theoretical and applied research needs of cognitive wireless networks. The results of previous pre-researches are the basic starting point to study the relationship between network transport performance optimization, topology control and routing strategies based on complex network theory in cognitive wireless networks. The basic breakthroughs provide new research methods, research ideas and theories for the study of topology control theory and routing strategies in cognitive wireless networks. With the rapid development of wireless communication technology, a new generation of wireless networks is gradually moving toward diversification, isomerization, and intelligence. An important development trend of the future network is broadband and diversification of services. The main reasons for limiting it are the shortage of spectrum resources and the lack of flexibility of the existing fixed spectrum management modes. The dynamically changing heterogeneous network environment further exacerbates the contradiction between resource shortages and business requirements, thus seriously restricting the deployment and operation of existing and future wireless networks. However, actual measurement data shows that the wireless spectrum is underutilized most of the time and in some areas. In order to increase the utilization of the existing spectrum, Dr. Mitola proposed cognitive radio technology in 1999. Cognitive radios use "secondary use" of licensed spectrum. Dynamic spectrum access allows non-authorized users to perceive and access current idle frequency bands. Cognitive radio networks (CRNs) adopting cognitive radio technology not only include cognitive radio technology, but also put forward more and higher requirements at the network level. The essence is to incorporate cognitive characteristics into the overall wireless communication network.
机译:本文认为复杂网络理论方法在认知无线网络中作为基本背景中的应用,并探讨了基于复杂网络理论的认知无线网络的关键技术。基本目标是优化认知无线网络的端到端性能。本文旨在认知无线网络的理论和应用研究需求。先前研究的结果是研究网络传输性能优化,拓扑控制与路由策略之间关系的基本起点,基于复杂网络理论在认知无线网络中的关系。基本突破为认知无线网络中的拓扑控制理论和路由策略研究提供了新的研究方法,研究思路和理论。随着无线通信技术的快速发展,新一代无线网络逐渐走向多样化,异构化和智能。未来网络的一个重要发展趋势是宽带和服务多样化。限制它的主要原因是频谱资源的短缺以及现有的固定频谱管理模式缺乏灵活性。动态变化的异构网络环境进一步加剧了资源短缺和业务需求之间的矛盾,从而严重限制了现有和未来的无线网络的部署和操作。然而,实际测量数据表明,无线频谱大部分时间和某些区域都未充分利用。为了提高现有频谱的利用,Mitola博士在1999年提出了认知无线电技术。认知收音机使用许可频谱的“二次使用”。动态频谱访问允许非授权用户感知和访问电流空闲频带。认知无线电网络(CRNS)采用认知无线电技术不仅包括认知无线电技术,而且还提出了在网络级别的越来越高的要求。本质是将认知特征纳入整个无线通信网络。

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