5G无线网络D2D资源分配算法及仿真研究
发布时间：2018-09-18 07:27
【摘要】：近年来,随着5G研究工作的积极开展,其关键技术也受到广大研究者的青睐。其中D2D(Device-to-Device)技术优势突出,成为了研究的热点。D2D通信可以使终端设备之间直接通信,从而减轻基站负载、降低传递时延、提高通信质量。如今网络中用户需求呈爆炸性增长,而网络中资源是有限的,因此在D2D通信过程中,良好的资源分配方案是减少干扰、提升资源利用率的关键。本文致力于研究D2D通信中资源分配的优化算法,主要研究工作有以下两点:第一,由于点对点数据共享业务需求的增多,为了降低网络服务延迟,提高通信效率,可以将缓存技术应用于D2D通信,来应对媒体业务的增长。在D2D缓存技术中,缓存命中率是衡量系统缓存性能好坏的关键指标,如何分配有限的缓存资源,使缓存命中率最大化是研究的重点。本文对现有的D2D缓存技术进行了分类总结,提出了基于全双工通信的D2D缓存模型,并建立优化模型求解出了使缓存命中率最大的缓存资源分配方案。仿真结果显示,本文所提出的基于全双工的D2D缓存技术的缓存命中率相较于半双工模式有明显的提升。第二,由于D2D设备之间的通信不经过基站的转发,终端需要处理设备配对、模式选择、信道估计以及功率分配一系列问题,由此带来额外的电量消耗。将能量收集技术应用于D2D通信,能够有效增加通信节点的传输功率,提升系统容量。本文研究了基于能量收集的D2D通信技术,在高斯白噪声信道中构建了基于能量收集的D2D通信模型,并通过为收发节点合理分配通信时长,使系统容量最大化。在此基础上,研究了阴影衰落信道中的能量收集D2D系统容量优化问题,并仿真分析了系统容量的平稳性。
[Abstract]:In recent years, with the active development of 5G research, its key technology is also favored by the majority of researchers. Among them, D2D (Device-to-Device) technology has become the focus of research. D2D communication can make the terminal equipment communicate directly, thus reducing the load of the base station, reducing the transmission delay and improving the communication quality. Nowadays, the demand of users in the network increases explosively, but the resources in the network are limited. Therefore, in D2D communication, a good resource allocation scheme is the key to reduce interference and improve the utilization of resources. This paper focuses on the optimization algorithm of resource allocation in D2D communication. The main research work is as follows: first, due to the increasing demand for point-to-point data sharing services, in order to reduce network service delay and improve communication efficiency, Cache technology can be applied to D-D communication to cope with the growth of media business. In D2D cache technology, cache hit ratio is the key index to evaluate the system cache performance. How to allocate limited cache resources and maximize cache hit ratio is the focus of research. In this paper, the existing D2D cache technology is classified and summarized, and a D2D cache model based on full-duplex communication is proposed, and an optimized model is established to solve the cache resource allocation scheme, which makes the cache hit rate maximum. The simulation results show that the cache hit ratio of D2D cache based on full duplex proposed in this paper is much higher than that of half-duplex mode. Second, because the communication between D2D devices is not transmitted through the base station, the terminal needs to deal with a series of problems such as device pairing, mode selection, channel estimation and power allocation, resulting in additional power consumption. The application of energy collection technology to D2D communication can effectively increase the transmission power of communication nodes and enhance the system capacity. In this paper, the D2D communication technology based on energy collection is studied, and the D2D communication model based on energy collection is constructed in Gao Si white noise channel, and the system capacity is maximized by allocating the communication time to the transceiver node reasonably. On this basis, the capacity optimization problem of energy collection D2D systems in shadowed fading channels is studied, and the stability of the system capacity is simulated and analyzed.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5
本文编号：2247213
[Abstract]:In recent years, with the active development of 5G research, its key technology is also favored by the majority of researchers. Among them, D2D (Device-to-Device) technology has become the focus of research. D2D communication can make the terminal equipment communicate directly, thus reducing the load of the base station, reducing the transmission delay and improving the communication quality. Nowadays, the demand of users in the network increases explosively, but the resources in the network are limited. Therefore, in D2D communication, a good resource allocation scheme is the key to reduce interference and improve the utilization of resources. This paper focuses on the optimization algorithm of resource allocation in D2D communication. The main research work is as follows: first, due to the increasing demand for point-to-point data sharing services, in order to reduce network service delay and improve communication efficiency, Cache technology can be applied to D-D communication to cope with the growth of media business. In D2D cache technology, cache hit ratio is the key index to evaluate the system cache performance. How to allocate limited cache resources and maximize cache hit ratio is the focus of research. In this paper, the existing D2D cache technology is classified and summarized, and a D2D cache model based on full-duplex communication is proposed, and an optimized model is established to solve the cache resource allocation scheme, which makes the cache hit rate maximum. The simulation results show that the cache hit ratio of D2D cache based on full duplex proposed in this paper is much higher than that of half-duplex mode. Second, because the communication between D2D devices is not transmitted through the base station, the terminal needs to deal with a series of problems such as device pairing, mode selection, channel estimation and power allocation, resulting in additional power consumption. The application of energy collection technology to D2D communication can effectively increase the transmission power of communication nodes and enhance the system capacity. In this paper, the D2D communication technology based on energy collection is studied, and the D2D communication model based on energy collection is constructed in Gao Si white noise channel, and the system capacity is maximized by allocating the communication time to the transceiver node reasonably. On this basis, the capacity optimization problem of energy collection D2D systems in shadowed fading channels is studied, and the stability of the system capacity is simulated and analyzed.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5
【参考文献】
相关博士学位论文 前2条
1 龚文熔;无线蜂窝网络中的D2D多播资源分配技术研究[D];北京邮电大学;2015年
2 冯大权;D2D通信无线资源分配研究[D];电子科技大学;2015年
相关硕士学位论文 前2条
1 黄小柠;面向无线缓存的D2D技术研究[D];电子科技大学;2016年
2 梁彪;内容分发网络协作缓存算法研究[D];北京交通大学;2016年
，本文编号：2247213
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