已知与未知发射端信道信息干扰中和与对准理论研究

项目名称： 已知与未知发射端信道信息干扰中和与对准理论研究

项目编号： No.61301085

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 无线电电子学、电信技术

项目作者： 刘婷婷

作者单位： 北京航空航天大学

项目金额： 28万元

中文摘要： 从高效管理干扰而不是相干基站协作传输的角度探索提高蜂窝系统容量的新途径，在重新认识空间独立信道对提高频谱效率作用的基础上，研究在保障信号分集、复用增益的前提下,通过干扰中和与对准高效利用各种资源的新机理。为此，沿着分析当发射端有/无信道信息时多天线干扰广播信道及中继辅助干扰广播信道的自由度、及以最大自由度为目标进行传输优化的思路，探索下行多天线蜂窝系统的传输潜力，揭示多基站、多中继、多用户、多天线、多载波资源对有/无中继辅助干扰广播信道自由度的贡献及其相互制约的基本规律，提出在不同系统配置、不同信道条件下达到最大自由度的最优干扰管理策略。为了解决分析一般干扰广播信道最大自由度时所面临的挑战，从分析无干扰传输方程可行性的充分必要条件出发，以统一的理论框架分析有/无码元扩展、有/无中继辅助的干扰广播信道的最大可达自由度。旨在为未来蜂窝通信网络以低系统代价实现高频谱效率奠定理论基础。

中文关键词： 自由度；干扰对准；干扰中和；拓扑干扰协调；预测资源分配

英文摘要： Explore new way to increase the capacity of cellular systems from the respective of efficient interference management instead of coherent base station cooperation. On the basis of new understanding on the role of spatially independent channels on the increase of spectral efficiency, we study new principle and mechanism to efficiently exploit various resources by neutralizing and aligning interference after ensuring diversity and multiplexing gain for desired signals. To this end, we analyze the degrees of freedom (DoF) of the multi-input multi-output interference broadcasting channel (MIMO-IBC) with and without the aid of relaying, and optimize the transmission strategies to achieve the maximal DoF when channel state information is or is not available at the transmitters. From these analysis we can find the potential of downlink cellular systems, reveal the contribution of multiple base stations, multiple relays, multiple users, multiple antennas and multiple subcarriers to the capacity of interference broadcasting channels and the inherent similarity and difference of various spatial and frequency dimensions. We will propose interference management strategies that achieve the maximal DoF for various system settings under symmetric or asymmetric flat fading or frequency selective channels. To deal with the chal

英文关键词： Degrees of freedom；Interference alignment；Interference Neutralization；Topology based interference coordination；Predictive resource allocation