Research On D2D Peer Discovery Based On Mobility Feature

Recent years, with the development of short distance communication technology, we can communicate and exchange data better. Among these technologies, the D2D(Device-to-Device) based on new Communication technology has become the focus of the research.In the research of D2D communication technology, there are four main research points, which are peer discovery, resource allocation,power control and interference coordination. In this paper, we mainly focus on the problem of D2D peer discovery. The peer discovery studies the devices send the search signals to find the near devices. According to the related research, the energy consumed by a device is equivalent to the energy consumed by a call. While in order to reduce energy consumption, blindly increasing the search signal cycle will reduce the rate of peer discovery. How to reduce the loss rate of peer discovery under the limitation of energy is the main purpose of this paper.Based on the existing peer discovery schemes, we analyze the feature of human mobility to minimize the loss rate of peer discovery subject to a given energy consumption. According to the feature of human mobility, we propose the non-fixed time slot method which two time slots the network topology similar are merged. In combination with historical data information of the correlation in the same period, using the historical data to predict the number of connections and the number of nodes for the next time slot. Above these improvements, a D2D peer discovery mechanism based on human mobility feature is proposed.Finally, using MIT dataset and InfoCom06 dataset to simulate the scheme which we proposed. And to compare the schemes which have been proposed to verify the outperformance of our scheme.