蜂窝D2D异构网络中的干扰对齐技术研究

项目名称： 蜂窝D2D异构网络中的干扰对齐技术研究

项目编号： No.61471056

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 无线电电子学、电信技术

项目作者： 姚海鹏

作者单位： 北京邮电大学

项目金额： 82万元

中文摘要： 终端到终端(Device-to-Device, D2D)直通通信技术能够提高蜂窝网络吞吐量，降低用户设备功耗，提高数据的瞬时传输速率，因此得到了学术界的广泛关注。传统的蜂窝D2D通信通过功率和资源分配方式进行干扰管理，对频谱效率的提高有限。干扰对齐(Interference Alignment, IA)是一种高效的干扰管理技术，在高信噪比条件下能够使MIMO干扰信道系统达到最优性能。本项目提出基于IA技术对蜂窝D2D异构网络进行干扰管理。基于渐进IA技术进行蜂窝D2D异构网络自由度分析。研究不同干扰约束条件下蜂窝D2D异构网络线性干扰对齐的可行性条件，并提出相应的线性IA解决方案。为进一步提高蜂窝D2D异构网络干扰管理的性能，基于随机网络优化理论提出一种联合用户调度和传输策略选择机制。最后，对基于有限反馈IA进行研究。包括有限反馈对IA性能的影响，动态反馈比特分配机制和低复杂度量化码本。

中文关键词： 信道量化；干扰对齐；自由度；有限反馈；设备到设备

英文摘要： Device-to-device(D2D) communications in cellular networks has attracted much attention by virtue of advantages it offers: cell throughput enhancement, user equipment power savings, and instantaneous data rate increase. Interference management of D2D communications is usually addressed by power and resource allocation schemes, however, they are efficient to enhance the spectrum efficient. Interference alignment (IA) has been recognized as a promising technique that achieves the capacity of the multiple-input multiple-output (MIMO) interference channel for high signal to noise. This project proposes using IA techniques in a cellular/D2D heterogeneous network to manage the interference. In this research, the degrees of freedom (DoF) of cellular/D2D heterogeneous networks with centralized control and distributed control is studied by applying asymptotic interference alignment scheme. The feasibilities of linear interference alignment are investigated for cellular/D2D heterogeneous networks under different interference constraints, and corresponding interference alignment solutions are designed based on linear IA schemes. For further improving the performance of interference management for cellular/D2D heterogeneous networks, a joint user scheduling and transmission strategy selection scheme is proposed by applying stochastic networks optimization. We study the performance loss analysis of interference alignment for cellular/D2D heterogeneous networks under limited feedback at first. To enhance the performance of limited feedback, we design a dynamic feedback-bits allocation approach for each receiver device, and study feedback-topology designs based on the network structure of cellular/D2D heterogeneous networks. We also proposed a rotation hierarchical codebook to reduce the storage complexity and computation complexity of CSI quantization.

英文关键词： Channel State Information Quantization;Interference Alignment;Degree of Freedom;Limited Feedback;Device-to-Device