A clustering-based resource allocation method for vehicle-to-vehicle communication

Abstract

The invention discloses a cluster-based vehicle-vehicle communication resource allocation method. The base station of the method of the present invention designates some vehicle users as cluster heads, while other vehicle users automatically join appropriate cluster heads to form clusters according to the received cluster head information, including the direction of movement, speed and geographical location of the cluster head, The base station periodically pre-configures an orthogonal explicit resource pool for the cluster according to the geographic location of the cluster within the coverage area and the number of vehicle users in the cluster, which effectively reduces the same-frequency interference between the clusters. The almost orthogonal resource pool between the clusters within the coverage of the same base station ensures that even if there are interfering users, there is a certain distance from the sending vehicle users and will not cause too serious interference; thirdly, users in the cluster are based on resource reservation The autonomous resource selection mechanism of the invention can well avoid intra-cluster resource collision, so the reliability of the V2V communication system is improved by adopting the V2V resource allocation method proposed by the present invention.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a method for allocating resources of vehicle-vehicle communication based on clustering. Background technique [0002] At present, in recent years, the number of cars has grown explosively with the development of society. While bringing convenience to people's lives, road traffic is becoming increasingly busy, followed by frequent traffic accidents, traffic jams, environmental noise and other serious problems. Affecting people's lives, urban traffic safety has become a hot spot of social concern. At the same time, with the improvement of people's quality of life, new demands such as automatic driving and remote driving have emerged spontaneously. The emergence of Vehicle-to-everythingcommunications (V2X) has therefore attracted widespread attention from the society. Considering the diversified communication options and ubiquitous coverage of cellular mo...

AI Technical Summary

Problems solved by technology

There is no doubt that the perception-based SPS algorithm can meet the delay requirements of V2V communication, but it also faces the following problems. First, it is limited by the perception ability of the vehicle user terminal, and users with poor signal reception ability It will face poor perception effect, resulting in poor wireless resource management effect; second, even if the user has sufficient perception ability, it can only perceive users within a certain range, and cannot perceive hidden terminals. Due to the dynamic movement of vehicles, Vehicle users who are not in the sensing area originally move into the sensing area. Since the semi-persistent scheduling of users does not sense in time, the interference avoidance effect will be affected to a certain extent; third, the performance gain it brings depends on the periodicity of the business And semi-persistent scheduling, the suddenness of aperiodic business makes it impossible to reserve resources for business and perform semi-persistent scheduling, and the algorithm will fail

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