Abstract:

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 peruser signaling dimension remains limited.