Quantitative study of thresholding for device-to-device communication in 5G networks

Abstract

Device-to-device (D2D) communication was introduced as one of the technologies expected to tackle the increasing demand for high data rates and the growing usage of smartphones with its consequent traffic volumes. Interference is the main problem from which D2D suffers, for which several schedulers were developed. Most of the current scheduling techniques show a significant level of complexity. One way to reduce interference for D2D is to exclude some devices in a cell from D2D communication. In this paper we propose the use of a simple noise thresholding regardless of the scheduler. A device can take part in a D2D connection only if after their transmission, the value of interference in the cell remains below a specific threshold. This paper presents a comparison between the throughput of D2D devices for the case when devices are excluded based on the noise level in a cell compared to the case where no exclusion is made. In a previous work it was found that the probability distribution of device locations significantly impacted throughput. The results from two different probability distributions are presented in this paper. This study shows that when an exclusive approach is taken, the throughput per D2D device can be probabilistically guaranteed.