异构认知网络中频谱感知技术的研究
发布时间：2018-10-17 22:00
【摘要】：随着无线通信技术的飞速发展,无线通信系统正在经历不断的变革与更新,从以往单一的无线接入技术向包含采取不同演进路线的异构网络方向发展。然而和同构网络一样,异构网络中也面临着同样急需解决的问题,即频谱资源匮乏的问题。因此如何合理的管理无线频谱资源、优化频谱资源配置、提高频谱资源利用率对无线通信技术的发展具有重要意义。本文针对异构网络中现有频谱资源利用率不高的问题,利用频谱接入技术来检测出频谱空穴,合理分配频谱资源,以缓解异构认知网络中频谱资源短缺的问题。本文首先对认知无线电技术的现状、趋势及其关键技术做了介绍,以认知无线电中的频谱感知技术为研究对象,详细的描述了常用的频谱感知技术,尤其以单节点频谱感知技术为重点,分析了能量检测算法的检测概率和虚警概率,最后总结了常用单节点频谱感知技术的优缺点和适用场景。针对异构认知网络中频谱资源匮乏、频谱利用率不高的问题,本文主要开展了以下工作:一方面以传统的双门限能量检测为对象展开了研究,着重分析了噪声不确定性对传统双门限能量检测性能的影响,推导出了考虑噪声不确定的系统检测概率和虚警概率。分析结果表明,所提基于噪声不确定的双门限能量检测合作频谱感知算法在一定程度上减弱了噪声不确定性对能量检测性能的影响,在不额外增加系统传输开销的同时,改善了系统的检测性能。仿真结果表明所提基于噪声不确定的双门限能量检测合作频谱感知算法改善了系统的检测性能,是一种有效可行的频谱感知方案。另一方面针对传统双门限能量检测中双门限的设置问题,以传统双门限能量检测门限值的设置为对象展开了研究,着重分析了门限动态变化对能量检测检测性能的影响,推导出了考虑动态门限因素的系统检测概率和虚警概率。分析结果表明,所提基于动态门限的双门限能量检测合作频谱感知算法考虑了门限的动态变动和环境因素,对复杂多变的环境具有较强的适应能力。仿真结果表明所提基于动态门限的双门限能量检测合作频谱感知算法有效改善了整个系统的检测性能,抗噪声能力强。
[Abstract]:With the rapid development of wireless communication technology, wireless communication systems are undergoing constant changes and updates, from a single wireless access technology to a heterogeneous network with different evolution routes. However, as in isomorphic networks, heterogeneous networks are faced with the same problems that need to be solved, namely, the scarcity of spectrum resources. Therefore, how to manage the wireless spectrum resources reasonably, optimize the spectrum resources allocation, and improve the utilization ratio of the spectrum resources are of great significance to the development of wireless communication technology. Aiming at the problem of low utilization of spectrum resources in heterogeneous networks, this paper uses spectrum access technology to detect spectrum holes and allocate spectrum resources reasonably, so as to alleviate the shortage of spectrum resources in heterogeneous cognitive networks. In this paper, the current situation, trend and key technologies of cognitive radio technology are introduced. The spectrum sensing technology in cognitive radio is studied, and the commonly used spectrum sensing technology is described in detail. Especially, the detection probability and false alarm probability of the energy detection algorithm are analyzed, and the advantages and disadvantages of the common single node spectrum sensing technology are summarized. In order to solve the problem of lack of spectrum resources and low spectral efficiency in heterogeneous cognitive networks, this paper mainly carries out the following work: on the one hand, the traditional dual-threshold energy detection is studied. The influence of noise uncertainty on the performance of traditional two-threshold energy detection is analyzed, and the detection probability and false alarm probability of the system considering noise uncertainty are derived. The analysis results show that the proposed dual-threshold energy detection cooperative spectrum sensing algorithm based on noise uncertainty weakens the effect of noise uncertainty on the performance of energy detection to a certain extent and does not increase the transmission overhead of the system. The detection performance of the system is improved. Simulation results show that the proposed dual-threshold energy detection cooperative spectrum sensing algorithm based on noise uncertainty improves the detection performance of the system and is an effective and feasible spectrum sensing scheme. On the other hand, aiming at the problem of setting double threshold in traditional double threshold energy detection, this paper studies the setting of traditional double threshold energy detection threshold, and analyzes the influence of dynamic change of threshold on the performance of energy detection. The system detection probability and false alarm probability considering dynamic threshold factors are derived. The results show that the proposed dual-threshold energy detection cooperative spectrum sensing algorithm based on dynamic threshold takes into account the dynamic changes of threshold and environmental factors and has a strong adaptability to complex and changeable environment. Simulation results show that the proposed dual-threshold energy detection cooperative spectrum sensing algorithm based on dynamic threshold can effectively improve the detection performance of the whole system and has strong anti-noise ability.
【学位授予单位】：江苏科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN925
本文编号：2278138
[Abstract]:With the rapid development of wireless communication technology, wireless communication systems are undergoing constant changes and updates, from a single wireless access technology to a heterogeneous network with different evolution routes. However, as in isomorphic networks, heterogeneous networks are faced with the same problems that need to be solved, namely, the scarcity of spectrum resources. Therefore, how to manage the wireless spectrum resources reasonably, optimize the spectrum resources allocation, and improve the utilization ratio of the spectrum resources are of great significance to the development of wireless communication technology. Aiming at the problem of low utilization of spectrum resources in heterogeneous networks, this paper uses spectrum access technology to detect spectrum holes and allocate spectrum resources reasonably, so as to alleviate the shortage of spectrum resources in heterogeneous cognitive networks. In this paper, the current situation, trend and key technologies of cognitive radio technology are introduced. The spectrum sensing technology in cognitive radio is studied, and the commonly used spectrum sensing technology is described in detail. Especially, the detection probability and false alarm probability of the energy detection algorithm are analyzed, and the advantages and disadvantages of the common single node spectrum sensing technology are summarized. In order to solve the problem of lack of spectrum resources and low spectral efficiency in heterogeneous cognitive networks, this paper mainly carries out the following work: on the one hand, the traditional dual-threshold energy detection is studied. The influence of noise uncertainty on the performance of traditional two-threshold energy detection is analyzed, and the detection probability and false alarm probability of the system considering noise uncertainty are derived. The analysis results show that the proposed dual-threshold energy detection cooperative spectrum sensing algorithm based on noise uncertainty weakens the effect of noise uncertainty on the performance of energy detection to a certain extent and does not increase the transmission overhead of the system. The detection performance of the system is improved. Simulation results show that the proposed dual-threshold energy detection cooperative spectrum sensing algorithm based on noise uncertainty improves the detection performance of the system and is an effective and feasible spectrum sensing scheme. On the other hand, aiming at the problem of setting double threshold in traditional double threshold energy detection, this paper studies the setting of traditional double threshold energy detection threshold, and analyzes the influence of dynamic change of threshold on the performance of energy detection. The system detection probability and false alarm probability considering dynamic threshold factors are derived. The results show that the proposed dual-threshold energy detection cooperative spectrum sensing algorithm based on dynamic threshold takes into account the dynamic changes of threshold and environmental factors and has a strong adaptability to complex and changeable environment. Simulation results show that the proposed dual-threshold energy detection cooperative spectrum sensing algorithm based on dynamic threshold can effectively improve the detection performance of the whole system and has strong anti-noise ability.
【学位授予单位】：江苏科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN925
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