移动蜂窝网络中D2D通信资源分配方法研究

发布时间：2018-08-30 20:31

【摘要】：随着互联网、云计算等网络技术的发展,人们对于蜂窝移动通信的业务需求不断增长,推动了未来移动通信的发展从最初简单的语音通话朝着多样化的方向发展。特别是在最近几年的互联网发展情况下,智能电脑和手机等大量电子产品涌入市场之后,社交网络、资源共享、本地广告等服务逐渐的运用使得用户对移动通信的性能要求越来越高。在这种大环境下,希望自己能够随时随地的接入互联网,并能获得更加安全并且较高的服务水平。因此,设备到设备(D2D,Device-to-Device)通信技术应运而生,近年来该技术一直是蜂窝移动通信领域的一个重要内容。本论文研究了移动蜂窝网络中D2D通信资源分配算法。论文分为六个部分,其中第二部分详细研究了移动蜂窝网络中D2D通信技术,分别研究了LTE/LTE-A蜂窝网络和D2D通信。论文的第三、四、五部分提出了三个资源分配算法,并对这三个算法进行了研究。首先研究了业务速率需求的D2D通信资源分配算法SARA,并与随机资源分配算法RANDOM的性能作比较。仿真得出,不管在系统D2D通信满意度还是系统吞吐量方面,SARA算法的性能明显优于RANDOM算法。然后研究了基于系统容量最大化的资源分配算法CMRA,并与随机资源分配算法RANDOM算法的性能作比较。仿真得出,不管在系统总容量还是所有蜂窝用户的容量损失方面,SARA算法的性能明显优于RANDOM算法。最后研究了基于系统容量和公平性的D2D通信资源分配算法CFRA,并与第四章的CMRA算法的性能作比较。仿真得出,在系统总容量方面,特别是移动用户非均匀分布场景下,CFRA算法劣于CMRA算法;在公平性参数方面,特别是移动用户非均匀分布场景下,CFRA算法远优于CMRA算法。因此,相对于CMRA算法,CFRA算法更适合应用于移动用户非均匀分布的场景。
[Abstract]:With the development of Internet, cloud computing and other network technologies, the demand for cellular mobile communication is increasing, which promotes the development of mobile communication from the original simple voice call to a diversified direction. Especially with the development of the Internet in recent years, after a large number of electronic products, such as smart computers and mobile phones, poured into the market, social networks and resources were shared. The use of services such as local advertising makes users more and more demanding the performance of mobile communication. In this environment, I hope to be able to access the Internet anytime, anywhere, and can obtain a more secure and high level of service. As a result, D2DU device / to-Device (D2DU) communication technology has emerged as the times require, and has been an important part of cellular mobile communication in recent years. In this paper, D2D communication resource allocation algorithm in mobile cellular networks is studied. The thesis is divided into six parts. In the second part, the D2D communication technology in mobile cellular network is studied in detail, and the LTE/LTE-A cellular network and D2D communication are studied respectively. In the third, fourth and fifth parts, three resource allocation algorithms are proposed and studied. Firstly, the D2D communication resource allocation algorithm (SARA,) based on traffic rate requirement is studied and compared with the random resource allocation algorithm (RANDOM). Simulation results show that the performance of Sara algorithm is better than that of RANDOM algorithm in terms of system D2D communication satisfaction and system throughput. Then the resource allocation algorithm (CMRA,) based on system capacity maximization is studied and compared with the random resource allocation algorithm (RANDOM). Simulation results show that the performance of Sara algorithm is obviously superior to that of RANDOM algorithm in terms of the total capacity of the system and the capacity loss of all cellular users. Finally, the D2D communication resource allocation algorithm CFRA, based on system capacity and fairness is studied and compared with the CMRA algorithm in Chapter 4. The simulation results show that the CMRA algorithm is inferior to the CMRA algorithm in the total capacity of the system, especially in the case of non-uniform distribution of mobile users, and the algorithm is much better than the CMRA algorithm in fairness parameters, especially in the non-uniform distributed scenario of mobile users. Therefore, compared with CMRA algorithm, it is more suitable for mobile users with non-uniform distribution.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5

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