Self-adaption multi-service resource allocation method and device

Abstract

The invention provides a self-adaption multi-service resource allocation method and a self-adaption multi-service resource allocation device, wherein the method comprises the steps that the self-adaption multi-service resource allocation method is characterized by comprising the steps that a plurality of services received from one or a plurality of user requests are classified; and on the basis of service classification, the specific gravity of homogeneous services is obtained for regulating the transmission resource allocation of service channels in communication channels. The method and the device have the advantages that the real-time changes of user request service contents are tracked through a base station, homogeneous services and heterogeneous services in the user request services are analyzed and counted, the specific gravity of homogeneous services is obtained for regulating the transmission channel resource allocation in service channels, the transmission resource configuration realizes the optimization, and the defects that the time delay uncertainty is caused, the fixed unicast transmission efficiency of the service channels is low, the bandwidth resources are wasted, the network load increase pressure is overgreat, and the performance of the whole system is influenced are avoided.

Description

Technical field [0001] The present invention relates to the technical field of vehicle-mounted wireless communication, in particular to a method and device for adaptive multi-service resource allocation. Background technique [0002] Intelligent Transport System (Intelligent Transport System, referred to as ITS) is an effective integration of sensor technology, information collection technology, access technology, transmission technology, and networking technology in the entire transportation management system, and it is established in a large-scale A real-time, accurate and efficient integrated transportation and management system that functions internally and in all directions. Intelligent transportation systems can provide applications such as vehicle safety, traffic control, assisted driving, information services, user network access, etc., aiming to ensure people’s urgent needs for travel safety, comfort, speed and efficiency. A common type of intelligent transportation syst...

AI Technical Summary

Problems solved by technology

Although such a mechanism reduces the collision rate to a large extent, it leads to the uncertainty of data transmission delay, at the expense of real-time performance of users.

As the number of users increases, the network density also increases, and network conflicts increase sharply, affecting user delay performance

[0005] Therefore, from the perspective of the existing ITS technology as a whole, as ITS wireless channel resources become increasingly tight, it is necessary to effectively optimize network resource allocation to overcome service performance defects such as resource waste, excessive load pressure, and delay uncertainty.

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