蜂窝网络下行链路单反馈干扰对齐算法研究

干扰是无线蜂窝网络面临的主要问题之一。蜂窝网络干扰对齐能消除干扰的影响从而提高系统信道容量。经典蜂窝网络下行链路干扰对齐算法仅优化单个用户自身信道容量，从而限制了蜂窝小区整体信道容量的提升。从提高蜂窝小区总信道容量出发，该文提出一种蜂窝网络下行链路单反馈干扰对齐算法。构建了蜂窝网络下行链路干扰对齐数学模型；在用户端以最大化用户SINR为目标构造接收矩阵；而在基站端以最大化小区总信道容量为目标构造预编码矩阵，并通过梯度投影算法来求解该优化问题。实验结果表明，相比于传统蜂窝小区下行链路干扰对齐算法，新算法可有效提高蜂窝网络下行链路信道容量。

Interference Alignment with Single Feedback for Downlink Cellular Networks

Interference is one of the key performance metrics in the design of cellular networks; Interference Alignment (IA) can eliminate the impact of interference and improve the capacity performance of cellular networks. In classic IA algorithms for downlink cellular networks, users improve the performance from their own point of view, so limit the sum capacity of cells. A new IA technique for downlink cellular networks is proposed in view of improving the sum capacity performance of per cell. Downlink IA mathematics model for cellular networks is constructed, receive vector is chosen to maximize SINR at the receivers, and precoder matrix is created by gradient projection method to maximize the sum capacity of per cell at base-stations. Numerical results show that the new algorithm has better capacity performance than classic downlink IA algorithms for cellular networks.