Sorting method of Qos scheduling

Abstract

The present invention discloses a sorting method of Qos scheduling, which comprises the following steps: respectively setting a priority curve for each business type, and respectively setting a control parameter for each priority curve; generating sorting parameters according to the priority curve of each business type and a scheduling metric value, and determining the business type the priority of which needs to be increased and the business type the priority of which needs to be decreased according to the Qos parameters needed by a communication system and Qos parameters obtained by actual measurement, and adjusting the control parameters of the priority curves; adjusting the priority curves according to the adjusted control parameters, and adjusting the sorting parameters according to the adjusted priority curves; and sorting for queues of all business types according to the adjusted sorting parameters. The sorting method can maximize the capacity of the system under the condition of meeting the Qos requirements of the business types, and ensures the Qos requirements of the business type with high priority when the load of the system is excess.

Description

technical field [0001] The invention relates to mobile communication technology, in particular to a sorting method for quality of service (Qos) scheduling. Background technique [0002] Currently, in the wireless communication systems of High Speed ​​Packet Access (HSPA) and Long Term Evolution (LTE), opportunistic scheduling is used to provide higher user throughput. The Qos scheduler needs to make a trade-off between maximizing the sum of user rates and maintaining the QoS balance between users. Although sometimes the real-time channel quality of a user is not very good, the actual delay of the user is relatively large, so The Qos scheduler still needs to schedule it. Therefore, opportunistic scheduling in current wireless communication systems may not necessarily translate into better QoS for users as in wired communication systems. [0003] The current communication system needs to support multiple service types, and different service types have different Qos requireme...

AI Technical Summary

Problems solved by technology

In the first method, the users are sorted completely according to the SPIs of the service types. This method simply distinguishes the SPIs of different service types. When the system resources are insufficient, the QoS of high-priority users can be guaranteed, but it does not consider User's real-time channel quality and system load, so the ranking method is not reasonable enough

In another method, different priority curves are provided for different SPI service types. In this method, a fixed priority curve is used. For a multilateral wireless communication environment, due to the dynamic system load, this method cannot be based on Dynamic changes adjust the sorting of different SPI business types, and the sorting method is not reasonable enough

In short, among all the sorting methods of Qos scheduling at present, any sorting method for Qos scheduling cannot achieve a balance between meeting the Qos requirements of various services and maximizing system capacity in a communication system containing multiple types of services

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