无定形小区的自组织关键技术研究

发布时间：2018-07-08 16:40

本文选题：无定形小区 + 异构网络　；参考：《电子科技大学》2014年硕士论文

【摘要】：人类即将迎来数字化社会的新浪潮,其主要特征是大数据和大智慧。大数据量对频谱资源需求严重,然而可用频谱资源匮乏,提高频谱效率最有效的方式是空间复用和频率复用。无定形小区由固定节点和移动低功率节点组成,提出的目的是为了改善传统蜂窝网的覆盖状况,应对业务量和服务质量需求的不断提升,迎合业务随用户行为潮汐变化特性。无定形小区能够同时改善局部容量并增强区域容量,灵活部署并管理低功率节点能够带来高能效。无定形小区扩展了无线通信网络中接入点的部署场景,为无线通信网络中新兴部署场景和业务类型提供了新视角,以动态的网络拓扑结构并结合多种增强技术为用户提供更有效的覆盖及更高的传输速率。无定形小区的引入为未来移动通信提供了新的发展机遇,但同时也面临着许多管理和维护方面的难题,借助自组织功能按需、自动的特性可促使未来移动通信网络向更加智能节能的方向演进,实现高效的网络管理和维护。无定形小区复杂的应用场景及动态特性给其自组织特性研究带来很大的挑战。首先,本论文对无定形小区的部署场景及节点特性做了详细描述,对无定形小区的关键技术包括回传链路设计、协作、信令设计和移动性管理等进行了综述,并针对无定形小区的自组织特性,对其中可能的几个研究进行了详细分析。由于在多用户、多小区环境下,干扰成为提高频谱效率的最大障碍,因此干扰管理技术已成为无线网络的瓶颈技术。本文以解决无定形小区中动态场景下的干扰作为重点开展研究。其次,本文研究了无定形小区中干扰管理技术。提出一种认知无线电协助的自组织管理模型。通过认知无线电方式检测无线资源上微弱的主基站信号,并将检测结果反馈给网络管理单元,进行节点参数的调整以降低网络中干扰。由于能量检测在低信噪比下存在限制条件,为保证检测结果的可靠性,特针对低信噪比下的检测性能进行了深入研究,推导并仿真验证优化的检测门限设置方法及协作算法。为避免无定形节点间深度干扰,提出一套可行的半静态频率复用干扰抑制机制。然后,本文研究了无定形小区的业务自适应特性。结合了减小层间干扰和绿色节能的思想,提出分层管理节点激活状态管理算法,在实现无定形小区业务自适应的同时,降低了网络能耗,提高网络能效。
[Abstract]:Human beings are about to usher in a new wave of digital society, the main characteristics of which are big data and great wisdom. The large amount of data has a serious demand for spectrum resources, but the available spectrum resources are scarce. The most effective way to improve spectrum efficiency is spatial multiplexing and frequency multiplexing. The amorphous cell is composed of fixed nodes and mobile low power nodes. The purpose of this paper is to improve the coverage of traditional cellular networks, to cope with the increasing demand for traffic and quality of service, and to cater for the characteristics of the service changing with the tide of user behavior. Amorphous cells can improve local capacity and enhance regional capacity at the same time. Flexible deployment and management of low power nodes can bring about high energy efficiency. The amorphous cell expands the deployment scenario of access point in wireless communication network and provides a new perspective for the new deployment scenario and service type in wireless communication network. Dynamic network topology and multiple enhancement technologies provide users with more efficient coverage and higher transmission rate. The introduction of amorphous cell provides a new development opportunity for future mobile communication, but at the same time, it also faces many problems in management and maintenance. The automatic characteristic can promote the future mobile communication network to the direction of more intelligent energy saving, and achieve efficient network management and maintenance. The complex application scenarios and dynamic characteristics of amorphous cells pose a great challenge to the study of their self-organizing properties. Firstly, this paper describes the deployment scenario and node characteristics of amorphous cell in detail. The key technologies of amorphous cell include link design, collaboration, signaling design and mobility management. According to the self-organization characteristic of amorphous cell, several possible researches are analyzed in detail. Interference management technology has become the bottleneck technology of wireless network because interference becomes the biggest obstacle to improve spectrum efficiency in multi-user and multi-cell environment. This paper focuses on solving the dynamic scene interference in the amorphous cell. Secondly, the interference management technology in amorphous cell is studied in this paper. A self-organizing management model for cognitive radio assistance is proposed. The weak primary base station signal in wireless resources is detected by cognitive radio, and the detection result is fed back to the network management unit, and the node parameters are adjusted to reduce the interference in the network. In order to ensure the reliability of the detection results, the detection performance under the low signal-to-noise ratio (SNR) is studied deeply, and the optimized detection threshold setting method and the cooperative algorithm are deduced and verified by simulation. In order to avoid the depth interference between amorphous nodes, a feasible semi-static frequency multiplexing interference suppression mechanism is proposed. Then, the service adaptation of amorphous cell is studied in this paper. Combined with the idea of reducing interlayer interference and green energy saving, a hierarchical management node activation state management algorithm is proposed, which can realize the self-adaptation of amorphous cell services, reduce network energy consumption and improve network energy efficiency.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5

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