Method, device and system for dynamic resource selection based on geographic location

Abstract

The present invention discloses a dynamic resource selection method, device and system based on a geographic position. The method comprises the steps of: dividing a whole area in a base station coverage range into a plurality of geographic areas to obtain vehicle density and the geographic position of each geographic area and perform cluster of all the geographic areas in the base station coveragerange; mapping each class to one sub resource pool after clustering to form many-for-one mapping; according to the vehicle density, regulating the size of the corresponding sub resource pool; and broadcasting a division result to a VUE. The device is arranged at the side of the base station is used to execute the mentioned steps. The system comprises a base station side and a VUE side, the VUE side is used to determine the geographic area of the VUE itself; and according to the mapping relation information and the sub resource pool division information, the required resource block is selectedaccording to the energy detection algorithm. The dynamic resource selection method, device and system improve the communication reliability compared to the static resource selection algorithm based on the geographic position.

Description

technical field [0001] The present invention relates to the technical field of Internet of Vehicles, in particular to a dynamic resource selection method, device and system based on geographic location in LTE-V2V. Background technique [0002] Intelligent Transportation System (Intelligent Transportation System, ITS) is a real-time, accurate and comprehensive traffic management system, which is considered to be the mainstream development direction of the transportation field. The Internet of Vehicles technology is the core of the Intelligent Transportation System. At present, the standardization work of Long Term Evolution-Vehicle (LTE-V) based on LTE network has been completed, which includes vehicle-to-vehicle communication (Vehicle to Vehicle, V2V), vehicle-to-pedestrian communication (Vehicle to Pedestrian, V2P) and Vehicle to Infrastructure / Network (V2I / N) communication modes. [0003] In the V2V communication mode, the vehicle communication equipment (Vehicle User Eq...

AI Technical Summary

Problems solved by technology

At the same time, there may be no VUE or very few VUEs in some areas, but this area is still mapped to a sub-resource pool of normal size, resulting in most resources in the sub-resource pool being wasted

For example, see figure 2 as shown, figure 2 According to the statistics of the number of VUEs in each geographical area divided according to the existing technology, the horizontal line represents the number of resource blocks included in each sub-resource pool, and it can be observed that the number of VUEs in a large part of the area is much lower than figure 2 The middle horizontal line, even some areas where there is no VUE at all, are still mapped to a normal-sized sub-resource pool, resulting in a large number of resource blocks being wasted

At the same time, the number of VUEs in some areas is higher than the horizontal line, and the resources are not enough, which leads to collisions and reduces the reliability of the communication system

[0006] It can be seen that this kind of resource shortage and resource waste caused by the existing resource partition mechanism greatly reduces the communication reliability when using the geographic location-based resource selection algorithm

Images