论文部分内容阅读
针对多小区MIMO干扰广播信道(IBC),基于特征向量拆分,首先提出一种闭式求解干扰对齐(IA)算法,该算法通过特征向量拆分将干扰信道(ICI)对齐到特定低维子空间内,进而发射端利用迫零技术以消除ICI和用户间干扰;然后,综合特征向量拆分与最大化信干噪比准则,形成混合IA算法.相比已有研究成果,两种IA算法对发射天线数配置要求明显降低,数值仿真表明两种算法均可获得比经典正交复用方式更高的自由度.
Aiming at multi-cell MIMO interference broadcast channel (IBC), based on eigenvector splitting, a closed algorithm for closed-loop interference alignment (IA) is first proposed. This algorithm divides the interference channel (ICI) Space, and then the transmitter uses the zero-forcing technology to eliminate ICI and inter-user interference. Then, combining the eigenvector splitting and maximizing SINR to form hybrid IA algorithm.Compared with previous research results, two IA algorithms The number of transmitting antennas is obviously reduced. The numerical simulation shows that both algorithms can obtain higher degrees of freedom than classical orthogonal multiplexing.