Resource allocation method and device, equipment and storage medium

Abstract

The invention provides a resource allocation method and device, equipment and a storage medium, and the method comprises the steps: obtaining the data of N services, the data of N services comprises the data of at least one real-time service and the data of at least one non-real-time service, and N is an integer greater than or equal to 2; according to a token bucket algorithm and a multiple matching algorithm of a K graph, allocating resources for data of each real-time service from a part of to-be-allocated resources; and according to a token bucket algorithm and a multiple matching algorithm of a K graph, allocating resources for data of each non-real-time service from the other part of resources in the to-be-allocated resources, wherein K is an integer greater than or equal to 3. The traffic of service data can be limited on the basis of the token bucket algorithm, and corresponding minimum resources can be matched for services with different traffic on the basis of the multiple matching algorithm of the K graph, so that basic resource allocation can be ensured for both real-time services and non-real-time services, and resource scheduling fairness is ensured.

Description

technical field [0001] The present application relates to communication technologies, and in particular to a resource allocation method, device, equipment and storage medium. Background technique [0002] The Long-Term Evolution (LTE) system has been recognized as a mobile communication system capable of supporting the world's telecommunication industry in recent years. Due to the scarcity of spectrum resources, the LTE system is also a resource-limited system. By allocating time-frequency domain resources through resource scheduling, spectrum utilization can be improved, thereby improving system performance. [0003] Resource scheduling is divided into uplink scheduling and downlink scheduling. In the process of downlink scheduling, it is necessary to ensure that service requirements are met. The LTE system can support real-time services and non-real-time services. For real-time services, quality of service (QoS) requirements such as delay and packet loss rate must be me...

AI Technical Summary

Problems solved by technology

However, in the mixed service scenario where real-time services and non-real-time services coexist, it is difficult to guarantee the fairness of resource scheduling between real-time services and non-real-time services.

[0004] The resource scheduling methods in related technologies mostly provide real-time services with an absolute high scheduling priority. Although the QoS requirements of real-time services are met, non-real-time services cannot obtain enough wireless resources for data transmission, resulting in the throughput of non-real-time services. The throughput is low, which leads to the low throughput of the LTE system as a whole

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