异步多载波D2D通信性能分析

发布时间：2018-07-16 21:22

【摘要】：近年来,随着全球范围内移动通信技术的不断发展,无线通信已经从以话音业务为代表的第一代(1G)发展到以高速移动数据业务为代表的第四代(4G),目前4G已被大规模商用。但是随着移动用户的快速增长,带来商机的同时也带来了压力,比如频谱资源匮乏、终端设备的能量损耗速度加快以及网络通信量的急剧增长等等,因此下一代移动通信技术5G开始受到行业的广泛关注。作为未来5G的关键技术,终端直通(D2D)技术允许移动终端不经过基站直接进行点到点的通信,它是一种允许终端之间通过复用小区资源直接进行通信的技术。与传统模式的通信方式相比,D2D通信具有节约频谱资源、扩大网络容量、降低终端能耗、缩短延时等优点。因此,公共安全场景中D2D设备发现的系统级分析成为重要的研究课题。本文主要对异步D2D网络中邻近设备发现进行系统级性能分析,假设物理层采用OFDM技术,所以对于异步D2D网络中设备发现的性能研究,可看作是一个特定场景的异步OFDM系统的性能研究。首先,对OFDM发送时间偏差的影响进行了详细的链路级分析,根据链路级分析,我们基于异步OFDM网络建立了一个易处理的一阶SINR模型,它可以很方便地用于异步D2D网络的系统级研究中,解决了系统级研究建模上的难题;其次,基于前面所建立的一阶SINR模型,研究异步D2D网络的系统级性能,其中终端设备的位置服从泊松点过程(PPP)分布且发送的是OFDM波形,从一个发现设备的角度出发,对一些重要的参量进行统计分析,包括可解码的发送设备的平均数目,最靠近D2D用户的解码率,系统吞吐量;最后,为了减轻异步的损失,我们比较并讨论了4个可能的措施,包括扩展循环前缀,接收时间提前,动态调整接收窗位置和半静态调整接收窗位置,这些方法复杂度各不相同,可以应用于不同的通信场景。
[Abstract]:In recent years, with the continuous development of mobile communication technology in the world, wireless communication has developed from the first generation (1G) represented by voice services to the fourth generation (4G) represented by high-speed mobile data services. However, with the rapid growth of mobile users, it brings business opportunities as well as pressure, such as the scarcity of spectrum resources, the acceleration of energy loss of terminal equipment, and the rapid growth of network traffic, and so on. Therefore the next generation mobile communication technology 5 G begins to receive the industry widespread attention. As the key technology of 5G in the future, the terminal through (D2D) technology allows the mobile terminal to communicate directly without passing through the base station. It is a technology that allows the terminals to communicate directly through the multiplexed cell resources. Compared with the traditional communication mode, D2D communication has the advantages of saving spectrum resources, expanding network capacity, reducing terminal energy consumption and shortening delay. Therefore, system-level analysis of D2D device discovery in public security scenarios has become an important research topic. This paper mainly analyzes the performance of proximity device discovery in asynchronous D2D network, assuming that OFDM technology is used in physical layer, so the performance of device discovery in asynchronous D2D network is studied. It can be regarded as a performance study of asynchronous OFDM system with a specific scenario. Firstly, the influence of OFDM transmission time deviation is analyzed in detail. According to link level analysis, we establish a first-order SINR model based on asynchronous OFDM network. It can be easily used in system-level research of asynchronous D2D network, and solves the problem of system-level modeling. Secondly, based on the first order SINR model, the performance of asynchronous D2D network at system level is studied. The position of terminal equipment is distributed from Poisson Point process (PPP) and transmitted by OFDM waveform. From the point of view of a discovery device, some important parameters are analyzed statistically, including the average number of decoded transmitting devices. Finally, in order to reduce the asynchronous loss, we compared and discussed four possible measures, including extending cyclic prefix, early receiving time, The dynamic adjustment of the receiving window position and the semi-static adjustment of the receiving window position have different complexity and can be applied to different communication scenarios.
【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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