认知应急通信系统的频谱分配技术研究

发布时间：2018-04-29 20:58

本文选题：认知无线电 + 应急通信　；参考：《西安电子科技大学》2015年硕士论文

【摘要】：针对地震、洪灾、海啸等临时多变的自然灾害以及紧急棘手的城市突发事件,作为一种简易有效的临时通信手段,应急通信系统的需求和发展更是迫在眉睫。然而,应急通信系统的恶劣环境以及复杂场景,严重影响了应急通信系统的服务质量,制约着应急通信的发展。认知无线电技术具有较强的频谱感知能力和系统重构能力,运用认知无线电技术可以较好的提升应急通信系统频谱资源的利用效率,增强应急通信系统在恶劣环境下的智能性与顽健性,极大的提高了应急通信系统的服务质量。本文从认知应急场景中的有限可用频谱高效合理利用出发,介绍了认知无线电在应急通信系统中应用的特点,并对认知应急通信系统的设计做了大量的研究,形成了适用于应急特殊环境的一种基于认知无线电技术的应急通信系统方案,并给出了具体的物理网络结构。基于这种设计,给出了该系统认知网络的体系架构和业务流程,并说明了模块中各个应用层的功能作用,对系统在应急场景的部分应用做了简要的介绍。在本文提出的认知应急通信系统中,为解决灾区不可抗的环境干扰和救援分队应急通信子系统间干扰问题,基于干扰温度模型给出了频谱需求分级概念,以更好表示频谱的差异性。并将频谱需求分级应用到图论着色模型,提出了基于改进图论着色模型的应急通信系统频谱分配算法。该算法能够根据子系统的频谱需求情况,在规避外界环境干扰的条件下,在应急通信各子系统间无干扰地分配满足业务QoS的频谱,为应急系统内各子系统提供满足最大化需求的频谱分配。仿真结果表明,所提算法能针对各认知子系统需求有效地分配频谱,以适应各子系统业务对频谱资源的需要,比原有CSGC算法能更好地满足认知应急通信系统内各子系统需求。
[Abstract]:As a simple and effective temporary means of communication, the demand and development of emergency communication system is urgent for earthquake, flood, tsunami and other temporary and changeable natural disasters as well as emergency and thorny urban emergencies. However, the bad environment and complex scene of emergency communication system seriously affect the quality of service of emergency communication system and restrict the development of emergency communication system. Cognitive radio technology has strong spectrum sensing ability and system reconstruction ability. Using cognitive radio technology can improve the utilization efficiency of spectrum resources in emergency communication system. Enhancing the intelligence and robustness of the emergency communication system in the harsh environment greatly improves the quality of service of the emergency communication system. Based on the efficient and reasonable utilization of the limited available spectrum in the cognitive emergency scene, this paper introduces the characteristics of the application of cognitive radio in the emergency communication system, and makes a lot of research on the design of the cognitive emergency communication system. A scheme of emergency communication system based on cognitive radio technology is formed, and the physical network structure is given. Based on this design, the architecture and business process of the cognitive network of the system are given, and the function of each application layer in the module is explained, and the application of the system in the emergency scene is briefly introduced. In the cognitive emergency communication system proposed in this paper, in order to solve the problem of the unreachable environmental interference and the interference between the emergency communication subsystem of the rescue team, the concept of spectrum requirement classification is given based on the interference temperature model. In order to better represent the difference in the spectrum. The spectrum requirement classification is applied to the graph theory coloring model, and a spectrum allocation algorithm based on the improved graph theory coloring model is proposed. According to the spectrum requirement of the subsystem, the algorithm can allocate the spectrum satisfying the service QoS without interference under the condition of circumventing the external environment interference. It provides the spectrum allocation to meet the maximum demand for each subsystem in the emergency system. The simulation results show that the proposed algorithm can effectively allocate the spectrum according to the needs of each cognitive subsystem, so as to meet the needs of spectrum resources of each subsystem service, and can better meet the needs of each subsystem in the cognitive emergency communication system than the original CSGC algorithm.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN914

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