引入社交关系的D2D中继通信干扰协调算法研究

发布时间：2018-03-05 05:06

本文选题：LTE-A　切入点：D2D中继通信　出处：《深圳大学》2017年硕士论文　论文类型：学位论文

【摘要】：近年以来,移动通信技术实现了爆发式的跨越发展,4G网络已经在全球主要国家大规模商用,5G的部署也已迫在眉睫。无线通信系统正在朝着多网络融合的方向前进,也将综合利用多种通信技术和接入方式以解决频谱资源短缺的问题,提高频谱利用效率和系统的通信容量。D2D(Device-to-Device)技术就是其中一个热门通信技术,它允许蜂窝网络中间距较近的移动设备不通过基站而进行直接的数据传输。D2D通信技术可以在移动网络中提供更加灵活的网络接入和通信服务,它具有数据传输速率高和网络开销低等众多优点。它可以复用蜂窝用户的频谱资源,从而极大的提高了频谱利用效率,缓解了频谱资源短缺的问题,同时也增加了通信系统的吞吐量。目前D2D通信的研究存在的问题主要有:(1)研究场景简单,多集中于最基础的D2D单跳通信和一个D2D对复用一个蜂窝用户的场景,与实际应用和需求不符;(2)中继节点的选择忽略节点的安全性和节点参与中继的意愿,难以保证链路的安全和连接成功率;(3)干扰协调算法多注重于模式选择、资源分配、功率控制的某个方面,若要获得更好的效果应该联合多个方面,共同协作。针对当前研究存在的问题,本论文提出了一个引入社交关系的D2D中继通信干扰协调算法。该算法具有以下创新点和优势:(1)在D2D通信基础架构之上融合中继技术,并在D2D中继通信中融合一个或多个D2D对复用同一蜂窝用户频谱的场景,使用分组策略进行资源分配,可进一步提高频谱利用效率,增加系统的容量和总吞吐量;(2)利用社交关系的关键特性进行中继节点选择,可显著提高通信安全性,增加连接成功率,减小中继探测成本;(3)结合中继选择、资源分配和功率控制等多个方面共同协作进行干扰协调,有效地提高了用户SINR及系统吞吐量。鉴于D2D是一种新技术,仿真平台尚不成熟,本论文基于Matlab软件开发了一个基于LTE-A的D2D通信仿真系统,并运用该系统对本论文提出的算法进行了仿真验证。结果表明,该算法与传统的算法相比,链路安全性能和连接成功率更高,且在提高用户的SINR和系统总吞吐量方面具有明显的优势。
[Abstract]:In recent years, mobile communication technology has achieved explosive leapfrogging development of 4G networks. The deployment of large-scale commercial 5G networks in major countries is imminent. Wireless communication systems are moving towards multi-network convergence. It will also make comprehensive use of multiple communication technologies and access methods to solve the problem of the shortage of spectrum resources. One of the most popular communication technologies is to improve the efficiency of spectrum utilization and the communication capacity of the system. D2DU Device-to-Devicetechnology is one of the most popular communication technologies. It allows mobile devices close to each other in cellular networks to transmit data directly without passing through the base station. D2D communication technology can provide more flexible network access and communication services in mobile networks. It has many advantages, such as high data transmission rate and low network overhead. It can reuse the spectrum resources of cellular users, thus greatly improve the efficiency of spectrum utilization and alleviate the shortage of spectrum resources. At the same time, it also increases the throughput of the communication system. At present, the main problems existing in the research of D2D communication are: the research scene is simple, and the most basic D2D single-hop communication and a D2D pair multiplexing a cellular user scenario are mainly focused on the most basic D2D single-hop communication. The selection of relay nodes neglects the security of nodes and the willingness of nodes to participate in relay, so it is difficult to ensure link security and connection success rate / / 3) interference coordination algorithm pays more attention to mode selection and resource allocation. Some aspect of power control, to achieve better results, should be combined with a number of aspects, work together. In view of the existing problems in current research, In this paper, a D2D relay communication interference coordination algorithm with social relationship is proposed. The algorithm has the following innovations and advantages: 1) integrating relay technology on D2D communication infrastructure. Combining one or more D2D pairs with the same cellular user spectrum in D2D relay communication and using packet strategy for resource allocation can further improve the spectrum utilization efficiency. Increase the system's capacity and total throughput to select relay nodes using the key features of social relations, can significantly improve communication security, increase the success rate of connection, and reduce the cost of relay detection. Resource allocation and power control work together to coordinate interference, which effectively improves user SINR and system throughput. Since D2D is a new technology, the simulation platform is not mature. In this paper, a D2D communication simulation system based on LTE-A is developed based on Matlab software, and the algorithm proposed in this paper is simulated and verified by the system. The results show that the algorithm is compared with the traditional algorithm. The link security performance and connection success rate are higher, and it has obvious advantages in improving the user's SINR and the total throughput of the system.
【学位授予单位】：深圳大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5

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