Scheduling method and system of multi-cluster resources in uplink shared channel

Abstract

The application provides a scheduling method and system of the multi-cluster resources in an uplink shared channel. The method comprises the steps of gathering the users needing to be distributed with the uplink resources, generating a user list, calculating the carrier priorities on different carriers of the users in the user list, determining the first carriers and the second carriers corresponding to the users, distributing the uplink resources to the user having the highest scheduling priority in the user list, and bearing the to-be-transmitted resources of the users via the resource clusters of the first carriers and the second carriers, wherein the first carriers having the highest priorities are used to bear the to-be-transmitted resources of the users as much as possible. According to the present invention, the frequency spectrum efficiency of the frequency spectrum resources of each resource cluster is guaranteed while guaranteeing the channel conditions distributed to the resource clusters of the users, thereby improving the resource utilization efficiency of a physical uplink shared channel (PUSCH).

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 (Long Term Evolvement, LTE) technology. In the LTE-A system, uplink channel estimation and signal demodulation are mainly completed 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 estimatio...

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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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