Multi-cell MEC Space Partition and Dynamic Adjustment Scheme for VR Video Transmission

Abstract

Aiming at the problem of delay requirements in VR panoramic video transmission, based on the MEC server resources on the edge side to reduce the calculation and transmission delay, an optimal partitioning method of MEC collaborative space based on maximum and minimum distance clustering is proposed. It is difficult to determine the initial value of the actual cluster classification of MEC in the distance method. In the “user-MEC/base station-cloud” task offloading architecture of VR video transmission on the edge side, based on the above collaborative space division scheme, the boundary of the MEC collaborative subspace is dynamically adjusted according to the resource usage in different regions and different time periods. The purpose is to maximize the It ensures that the edge terminal can complete the user's task request to the maximum extent, improves the transmission efficiency and quality of VR panoramic video, and reduces energy consumption, providing users with a smooth and immersive VR video experience.