A method and system for scheduling multi-cluster resources in an uplink shared channel

Abstract

This application provides a method and system for scheduling multi-cluster resources in an uplink shared channel. By counting users who need to allocate uplink resources, and generating a user list, calculating the carrier priority of each user in the user list on different carriers, determine The first carrier and the second carrier corresponding to each user allocate uplink resources for the user with the highest scheduling priority in the user list, and carry the resources to be transmitted by the user through the resource clusters of the first carrier and the second carrier. The first carrier with the highest level carries the user's to-be-transmitted resources. While ensuring the channel conditions of the resource clusters allocated to the user, the spectrum efficiency of the spectrum resources of each resource cluster is guaranteed, thereby improving the PUSCH resource utilization efficiency.

Description

technical field [0001] The present application relates to the field of communication technologies, and in particular to a method and system for scheduling multi-cluster resources in an uplink shared channel. Background technique [0002] LTE-A is an abbreviation of LTE-Advanced, and is a subsequent evolution of a Long Term Evolution (LTE) technology. In the LTE-A system, uplink channel estimation and signal demodulation are mainly accomplished by a demodulation reference signal (Demodulation Reference Signal, DMRS) of a physical uplink shared channel (Physical Uplink Share Channel, PUSCH). Specifically, after receiving the DMRS, the base station obtains the channel response on the PUSCH transmission bandwidth according to a certain channel estimation algorithm, and uses it for demodulating the PUSCH data on the corresponding bandwidth. Due to the single carrier characteristic of uplink, the longer the DMRS sequence, the more accurate the channel estimation and the better th...

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Problems solved by technology

Taking the allocation of two clusters to users as an example, if we blindly pursue the same length of the two clusters allocated to users, although the same demodulation performance is obtained, if the channel conditions of a certain cluster are relatively poor, the PUSCH resource utilization efficiency will be reduced. The extreme deterioration of the two clusters; if only considering the channel conditions of the two clusters to allocate the length of the two clusters, when there is a large difference in the length of the two clusters, it will affect the demodulation performance of a certain cluster

[0005] Therefore, in the existing uplink channel resource allocation, the flexibility of multi-cluster resource scheduling is low, and it is difficult to strike a balance between channel quality and demodulation performance of each cluster, which affects resource transmission

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