面向5G的认知D2D通信无线资源分配及通信模式研究

发布时间：2018-01-14 21:32

本文关键词：面向5G的认知D2D通信无线资源分配及通信模式研究　出处：《昆明理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着信息技术的发展,智能终端不断普及,移动网络的数据流量获得了爆炸性的增长,迫切需要下一代无线通信技术5G的实现来满足目前用户所需。为了适应日益紧张的无线频谱资源,如何增加通信系统的容量,如何提升用户体验,如何提高频谱资源的利用率成为目前研究的关键点。D2D(Device to Device)通信技术作为面向5G的关键技术,具有提高系统通信性能、提升用户体验、扩展蜂窝通信等优势,成为了目前研究的重点及热点。但D2D通信在带来便利的同时,也伴随而来的会产生如何进行通信模式选择、如何进行资源分配等问题。而认知无线电(Cognitive Radio,CR)技术能够实时的与外界环境进行交互,可以智能感知周围环境的频谱资源变化,从而为认知无线电用户选择最适合的通信频段,实现与主用户的频谱共享。所以D2D通信技术和认知无线电技术这两种通信技术的出现被认作是处理目前网络通信瓶颈的关键技术,将认知无线电技术与D2D通信相结合,可以有效解决目前通信过程中的瓶颈问题。本文首先介绍了下一代无线通信技术5G,随后过度到5G的关键技术D2D通信技术,并从D2D通信模式、D2D通信所面临的挑战等几个方而对D2D通信技术进行了较详细的介绍。随后介绍了认知无线电技术及认知无线技术里的关键技术。第三章针对用户资源利用率低及保障用户服务质量的问题。采用竞价机制,面向无线蜂窝网络,将认知无线电技术与D2D技术结合,本章提出一种分布式D2D功率分配方法。并通过仿真验证了该方法与传统方法相比的有效性。第四章将认知无线电技术应用于突发流量模型中,给D2D用户进行自适应模式选择,极大地利用了频谱资源,提高D2D通信效率。本章基于认知突发流量模型系统的信道流量负载,对D2D通信提出了一种自适应模式选择方法。并通过仿真验证了该方法与传统方法相比的有效性。第五章对本文所述内容做了总结并对以后的研究做了展望,虽然本文得到一定的研究结论,但有的地方还存在不妥,本章对不足之处提出了改进计划。最后对下一代无线通信技术做了展望,展望了下一代无线通信技术实现的场景及实现之后的美好愿景。
[Abstract]:With the development of information technology, intelligent terminals are becoming more and more popular, and the data flow of mobile network is increasing explosively. The next generation wireless communication technology 5G is urgently needed to meet the needs of current users. In order to adapt to the increasingly tight wireless spectrum resources, how to increase the capacity of the communication system, how to improve the user experience. How to improve the utilization ratio of spectrum resources has become the key point of current research. D2DU device to device is the key technology for 5G. With the advantages of improving system communication performance, improving user experience and expanding cellular communication, it has become the focus and hotspot of current research. However, D2D communication brings convenience at the same time. There are also problems such as how to choose the communication mode and how to allocate the resources. Cognitive radio cognitive Radio. CR-technology can interact with the outside environment in real time, and can intelligently perceive the changes of spectrum resources in the surrounding environment, thus selecting the most suitable communication frequency band for cognitive radio users. So the emergence of D2D communication technology and cognitive radio technology is regarded as the key technology to deal with the bottleneck of network communication. The combination of cognitive radio technology and D2D communication can effectively solve the bottleneck problem in the current communication process. Firstly, the next generation wireless communication technology 5G is introduced in this paper. Then over to 5G key technology D2D communication technology and from D2D communication mode. This paper introduces D2D communication technology in detail, then introduces the key technologies of cognitive radio technology and cognitive wireless technology. Chapter 3 aims at users' resource benefits. Low usage rate and protection of customer service quality. Competitive pricing mechanism is adopted. For wireless cellular networks, cognitive radio technology is combined with D2D technology. In this chapter, a distributed D2D power allocation method is proposed, and the effectiveness of this method compared with the traditional method is verified by simulation. Chapter 4th applies cognitive radio technology to burst traffic model. Adaptive mode selection for D2D users greatly utilizes spectrum resources to improve D2D communication efficiency. This chapter is based on the cognitive burst traffic model system channel traffic load. An adaptive mode selection method for D2D communication is proposed, and the effectiveness of the method compared with the traditional method is verified by simulation. Chapter 5th summarizes the content of this paper and prospects the future research. Although this paper has some conclusions, but there are still some deficiencies, this chapter puts forward a plan to improve the shortcomings. Finally, the next generation of wireless communication technology is prospected. The scenario of the next generation wireless communication technology and the future vision are prospected.
【学位授予单位】：昆明理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5

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