Interference Modelling for an Underlay D2D Network for Efficient Resource Allocation

Abstract

Incorporation of Device-to-Device communication increases the capacity of a wireless network while simultaneously reducing its reliance on the core network, which makes D2D one of the most important enabling technology for 5G and beyond wireless systems. However, these gains in network performance are achieved alongside a considerable increase in interference. Hence, interference modelling is of prime importance.In this work, statistical analysis and modelling of the aggregate interference generated by an underlay D2D network has been done by Gaussian Mixture Models along with statistical validation through two-sample Kolmogorov-Smirnov test. The generated models are utilized for channel allocation and provide significant capacity improvement for a D2D link.The results and analysis presented in this paper provide novel insights upon an interference-resistant D2D network design.