【作者】 王峰；

【导师】 吴迪；

【作者基本信息】 大连理工大学 ， 计算机应用技术， 2010， 硕士

【摘要】 目前的频谱按照固定的方式被分配成授权频段和非授权频段。其中授权频段占了其中大部分资源。由于无线通信技术的飞速发展,非授权频段的频谱日益紧张,频谱资源问题成为制约其发展的瓶颈；同时,授权频段的频谱资源利用率无论是在时间上还是空间上都十分低下。认知无线电技术就是为了解决这个问题被提出的。本文首先介绍了认知无线电技术的定义和提出的背景,并将整个认知无线电技术按照主要技术方向划分为频谱感知,频谱剪裁,频谱分配,参数设定四个方面,分别介绍了实现认知无线电的基本需求,以及当前所研究的各种技术和成果。由于认知无线电的核心在于智能的调整通信方式,保证主用户通信的条件下提高频谱使用率,而这种智能调整方式本质上可以抽象成一个在巨大解空间中寻优的问题,因此本文第二章主要介绍了非常适合解决这类问题的遗传算法以及其相关知识,通过仿真和实验论证了各种算子的应用环境和使用特点。本文的第三章介绍了基于认知无线电决策引擎的认知无线电实现方式,介绍了认知无线电决策引擎的设计,基于基本遗传算法实现了一个认知无线电决策引擎。最后,在本文的第四章,通过分析当前对于认知无线电研究的不足,基于本文第二章的相关研究,设计了两个可以提高认知引擎性能的遗传算子,并通过仿真说明了这两种算子的性能。此外,还通过理论分析,说明了这两种算子可以广泛适用于目前已有的各种基于遗传算法的认知无线电决策引擎。更多还原

【Abstract】 Currently, spectrum is allocated into authorized and unauthorized frequency bands, and most pre-allocated parts are the authorized frequency bands. As the rapidly development of wireless communication technology, the shortage of non-authorized band spectrum is becoming a bottleneck restricting the development of wireless technology. On the other hand, resource utilization of licensed spectrum is very low both in time dimension and spatial dimension. Cognitive radio technology is proposed to solve this problem.This paper introduces the background and the definition of cognitive radio technology. Dividing the main technology into four areas, spectrum sensing, spectrum tailoring, spectrum allocation and parameter setting, how to achieve cognitive radio’s basic needs is introduced, as well as the current study in this area.’The core of cognitive radio is to adjustment means of communication intelligently to improve spectrum utilization under the conditions of insuring the main user communications, so it can be abstract as a optimization problem from a huge solution space in nature.The second chapter introduces the ideal method to solve such problems, genetic algorithm, and shows the characteristics and environmental conditions of the genetic operators with simulation experiments. In the third part, a implement with cognitive radio decision engine is introduced. After describing the design of cognitive radio decision engine, a decision engine based on standard genetic is implemented as an example. In Chapter IV, through analysis of the lack of current research on cognitive, based on the relevant research in Chapter II, two genetic operators are designed to enhance the performance of cognitive radio decision engine. The simulation shows the performance.of these two operators and theoretical analysis shows that they can be widely applied to variety of current cognitive radio decision engine based on genetic algorithm.更多还原