部分连接K用户MIMO干扰信道的串行迭代干扰对齐算法

Serial iterative interference alignment algorithm for partially connected K-user MIMO interference channels

针对部分连接相比全连接的K用户多输入多输出(multiple input and multiple output,MIMO)干扰信道(interference channel,IC)的干扰对齐(interference alignment,IA)能以每用户仅提供有限信号维度条件下在任意用户数规模部分连接网络应用的实用意义,一种基于两干扰源K用户MIMO IC模型的低复杂度串行迭代IA算法被提出。仿真分析表明,相比现有算法,该算法具有更低的复杂度、更快的收敛速度和更理想的实用性能,并能以有限次迭代(10次以内)达到最优自由度。同时该IA算法的提出也证明在部分连接网络信号维度受限时存在可应用于任意用户数规模部分连接IC网络的可行性IA方案结论的正确性。

Different from the fully connected case,interference alignment （IA）can be achievable in a partially connected K-user multiple input and multiple output （MIMO）interfering network of an arbitrary size while the peruser signaling dimension is limited.For such a practical significance,a low complexity serial iterative IA algorithm is presented based on the two-interfering K-user MIMO interference channel （IC）model. Simulation results show that,compared with the existing algorithms,the proposed algorithm can obtain more improvements in terms of lower complexity,faster convergence and better practical performance.And it can achieve the optimal degree of freedom （DoF）with limited iterations of less than 10 times.At the same time,the proposed algorithm proves that in a partially connected IC network,IA can be achievable among an arbitrary number of users while the peruser signaling dimension remains limited.