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Compressive sensing-based interference alignment for ultra-dense networks

In this work we focus on the scheme where an ultradense heterogeneous networks acquires a signal of interest cancellation by an interfering signal. We propose a method of compressive sensing based interference Alignment algorithm for UltraDense Network. This paper is aimed at the complex interference of ultra-dense network. Firstly, we apply compressive sensing processing techniques for the signal, and then the interference alignment algorithms is used to cancel the interference signal. Finally, Basis Pursuit De-Noising based algorithm is used to formulate the data detection as the signal reconstruction in compressive domain. Simulation results show that the proposed compressive sensing based interference cancellation algorithm achieves observable performance gains compared to traditional interference cancellation algorithms.