Iterative interference alignment in device-to-device LAN with cellular networks

Device-to-Device (D2D) is a popular technology to improve the utilization of network resources, but the interference in D2D networks with Cellular Networks is much larger than that in traditional cellular networks with the spectrum-sharing. In this paper, we propose an iterative interference alignment (IA) algorithm for D2D Local Area Network (LAN) with the cellular networks. To maximize the power of desired signal, the algorithm optimizes the pre-coding vector and the post-processing matrix alternately. Numerical results and analysis turn out that the sum-rate performance of the proposed algorithm is superior to the existed interference management methods at the middle to high signal to noise ratio (SNR) scenarios. Moreover, the algorithm shows fast convergence and can be converged after five iterations.