Abstract
Vehicle Communication is a research hotspot in recent years, and 3GPP has listed V2X communication into the process of standardization. V2X communication has a more stringent requirement for QoS and transmission delay, especially for the road safety messages. The unnecessary handovers between two base stations in a short interval, so-called ping-pong effect, impact on the quality of communication seriously. So it is important to limit ping-pong effect in V2X communication. In this paper, we proposed a Joint Handover Decision (JHD) algorithm based on the characteristics that the target terminal connects with other devices around it in V2X communication, to improve the accuracy of handover and relieve the ping-pong effect. The JHD algorithm of target terminal is described by probability using Bayes Model in machine learning. Finally, simulation results show that the proposed algorithm can decrease the ping-pong effect 33% to 87%, compared with the traditional handover algorithm.
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