Robust Resource Allocation for Indoor Self-Blockage Millimeter Wave Device-to-Device Communications

Abstract

The advancement of millimeter wave (mmWave) technology can meet the requirements of large amounts of data communications among intelligent devices for indoor scenarios. However, reducing interference in an enclosed region is still challenging because the human body becomes the main blockage in indoor scenarios. In this paper we develop a robust system to exploit the self-blockage model for analysing the side effect of the human body and adopting a multi-ball Line of Sight (LOS) link state model to describe the conventional blockage. The combination of self-blockage and link state models will provide a more comprehensive and accurate expression for indoor obstacles that disturb the communication robustness. Besides, we formulate the resource allocation as a robust optimization problem, where the proposed optimization function is to achieve the maximum throughput by minimizing interference. We have given a closed expression of coverage rate to analyze the system performance. The simulation results show that the proposed model can accurately describe the distribution of blockages for indoor cases.