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Dynamic Spectrum Access in Cognitive Radio NEtwork

matlab 网络 论文 动态 频谱 接入 认知 无线电

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中文说明:自 20 世纪 30 年代,联邦通信委员会 (FCC) 已行骗控制无线电频谱能量。他们许可特定部分在特定的地理区域的用户。很少,小,无牌经营的乐队仍处于打开状态任何人都可以使用,只要他们遵循一定功率的调节。含稀土占激增,个人的无线技术,这些无牌的乐队已经成为挤满了一切从无线网络到数字无绳电话。为了打击过度拥挤,FCC 已经调查的新方法管理射频资源。其基本思想是让人们使用领有牌照的频率,临提供他们能保证干扰感知主许可证持有人将是微不足道的。随着软件和认知无线电,这样做的实际方法的进展这是在地平线上。2003 年 FCC 公布的一份备忘录置评在控制频谱使用干扰温度模型。分析这种模式和开发它周围的介质访问协议的可行性是本论文的主要目标。二实施这种模型系统将测量电流干扰瞬变电磁法在每个传输之前的温度。然后,它可以确定哪些带宽和功率它应使用以实现所期望的容量不违反干扰天花板被称为干扰温度限制。如果系统组成的干扰源,小学的许可用户和美国证券交易委员会二次未授权的用户随机建模,我们可以获得一些有趣的结果。尤其是,如果对授权用户的影响是愈合的分数降低在覆盖区,和这是举行常数,通过中学的能力用户是无牌节点的数目成正比,实际上是不是受干扰和主用户传输。使用基本开发在系统分析中,干扰温度多路存取的想法物理和数据链路层实现干扰温度模型,制定、 分析和模拟。总体而言,干扰温度模型是一个可行的方法为动态频谱接入 ITMA 是混凝土技术实施它。帮助认知无线电,我们才能改革频谱政策和有力地有更多空间要不断创新,迎来了一个高速的个人无线通信的新时代。


English Description:

Since the 1930s, the Federal Communications Commission (FCC) has fraudulently controlled radio spectrum energy. They license specific parts of users in specific geographic areas. Few, small, unlicensed bands are still on and anyone can use them as long as they follow a certain power regulation. These unlicensed bands have become packed with everything from wireless networks to digital cordless phones. To combat overcrowding, the FCC has investigated new ways to manage RF resources. The basic idea is to allow people to use licensed frequency pro to provide them with assurance that interference perception master licensees will be negligible. With the development of software and cognitive radio, the practical way to do this is on the horizon. In 2003, the FCC released a memo commenting on the use of interference temperature models in controlling spectrum. The main goal of this paper is to analyze the feasibility of this mode and develop the media access protocol around it. Second, the implementation of this model system will measure the temperature of current interference TEM before each transmission. Then, it can determine which bandwidth and power it should use to achieve the desired capacity without violating the interference ceiling called interference temperature limit. If the system consists of interference sources, primary licensed users and SEC secondary unauthorized users randomly modeled, we can get some interesting results. In particular, if the impact on the authorized user is healing, the score decreases in the coverage area, and this is held constant, the number of unlicensed nodes through which the secondary capacity user is in direct proportion to the number of nodes is not actually interfered with and transmitted by the primary user. Using the idea of interference temperature multiple access in system analysis, the interference temperature model is developed, analyzed and simulated in physical and data link layer. Overall, the interference temperature model is a feasible method for dynamic spectrum access, and ITMA is a concrete technology to implement it. With the help of cognitive radio, we can reform the spectrum policy and have more room for continuous innovation, ushering in a new era of high-speed personal wireless communication.


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