干扰管理技术在无线通信网络中的研究

发布时间：2018-03-17 20:27

本文选题：协作多点传输　切入点：干扰对齐　出处：《西安电子科技大学》2014年硕士论文　论文类型：学位论文

【摘要】：伴随着科技的进步,人们对于信息的各方面需求变得越来越多且越来越高,无线通信技术是满足这些需求的有效手段。无线通信具有架设成本低廉、组网灵活、支持移动性、覆盖和扩展性良好等特点,己被广泛应用于室内接入、短距通信、卫星通信、移动通信以及传感器网络等众多通信网络中。然而随着多种类型的无线通信系统的出现,网络的异构化、层次化,无线通信网络中存在的诸多干扰成为制约网络性能提升的关键因素。因此,如何设计有效的干扰管理方案,提高通信系统的频谱效率,成为无线通信领域的关键。论文在协作多点传输和认知无线电系统中分别设计基于干扰管理的通信算法。首先,在下行协作多点传输通信场景下,提出一种基于干扰对齐(IA)和干扰中和(IN)的信号处理算法。仅利用基站侧协作,通过发射预编码与接收滤波的联合设计,实现下行多路数据的并发传输。预处理设计中,利用干扰中和将携带相同数据信息的干扰信号将其对齐到同一子空间的相反方向;另一方面,对于携带不同数据信息的干扰信号,采用干扰对齐将其对齐到同一子空间的相同方向,从而实现接收端观测信号的降维。在发射端采用不同预编码设计的基础上,接收端采用正交投影滤波对期望数据进行恢复。所提方法仅利用有限的基站侧协作实现干扰的有效消除和抑制,对多天线系统的空间复用能力进行了充分利用。仿真结果表明,IAN-Co MP能够有效的抑制小区间的干扰,显著改善小区边缘用户的频谱效率。其次,在认知MIMO多用户上行通信场景中,设计一种基于干扰对齐的动态频谱共享与用户调度算法。通过设计基于干扰对齐和奇异值分解(SVD)的预编码向量,实现认知用户和授权用户之间的无干扰共存,并根据不同信道矩阵的传输性能差异,实现用户的合理调度。仿真结果表明,所提方法能够有效改善频谱利用率,显著提升系统的平均吞吐率。
[Abstract]:With the development of science and technology, the demand for all aspects of information becomes more and more and higher. Wireless communication technology is an effective means to meet these needs. Wireless communication has the advantages of low cost, flexible networking and mobility. Due to its good coverage and expansibility, it has been widely used in many communication networks, such as indoor access, short-range communication, satellite communication, mobile communication and sensor network. However, with the emergence of various types of wireless communication systems, The isomerization, hierarchy and interference in wireless communication network are the key factors restricting the improvement of network performance. Therefore, how to design an effective interference management scheme to improve the spectrum efficiency of communication system, This paper designs the communication algorithms based on interference management in cooperative multicast and cognitive radio systems. Firstly, in the downlink cooperative multicast communication scenario, A signal processing algorithm based on interference alignment (IAA) and interference neutralization (INI) is proposed. Only by using the cooperation of base station side, the concurrent transmission of downlink multi-channel data is realized through the joint design of transmitting precoding and receiving filtering. The interference signal that carries the same data information is aligned in the opposite direction of the same subspace by means of interference and the interference signal with different data information, on the other hand, for the interference signal with different data information, The interference alignment is used to align it to the same direction in the same subspace, thus the dimension reduction of the observed signal at the receiving end is realized. On the basis of the different precoding design of the transmitter, The receiver uses orthogonal projection filter to recover the desired data. The spatial multiplexing ability of multi-antenna system is fully utilized. The simulation results show that IAN-Co MP can effectively suppress intercellular interference and significantly improve the spectral efficiency of cell edge users. Secondly, in cognitive MIMO multi-user uplink communication scenarios, A dynamic spectrum sharing and user scheduling algorithm based on interference alignment is designed. By designing a precoding vector based on interference alignment and singular value decomposition (SVD), the interference free coexistence between cognitive users and authorized users is realized. The simulation results show that the proposed method can effectively improve the spectral efficiency and significantly improve the average throughput of the system.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN92;TN972

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