Zipf Based Video Segment Distribution Mechanism in D2D Networks

The proliferation of electronic devices has driven the demand for online office work and video conferencing. However, when multiple users within a certain range request similar or identical video services, it leads to redundant video transmission, consuming a significant amount of network resources and increasing the load on base stations. Device-to-Device (D2D) direct communication technology effectively addresses this issue. In this paper, combined with the Zipf distribution, we segment popular videos and distribute different video segments to different cluster head users based on the level of video attention in D2D networks. Different cluster head users perfect the video segments by sharing them through the D2D network after distribution, and then the cluster head performs unicast or multicast transmission to the cluster members who request services. In this process, the goal is to maximize user Quality of Experience (QoE) with system energy consumption as a constraint. This paper selects a D2D video distribution mechanism based on a cluster-based segmentation coordination algorithm as a control group. Experimental results show that compared to the control group, our video distribution mechanism improves QoE by 10.5%, increases system throughput by $22 \%$, and reduces total transmission delay by 26.5% while the energy consumption of the system is the same as the control group.