Collaboration dispatching and beamforming method based on three-neighborhood collaboration cluster

Abstract

The invention discloses a collaboration dispatching and beamforming method based on a three-neighborhood collaboration cluster. Firstly, two interference sources in the collaboration cluster are determined by a service base station, and accordingly users in a sector are classified; secondly, in each short dispatching cycle, dispatching information is exchanged between the service base station and two collaboration base stations, a transmission channel half orthogonal norm is used by the service base station to select out non-interference users, the collaboration base stations select interference channels for the service base station from a user set sent from the service base station according to the dispatching information of the service base station so that a candidate user set with parallelism is met, and the service base station selects the remaining dispatching users from the candidate set according to the transmission channel half orthogonal norm; and finally, improved zero-forcing beamforming is used by the service base station to eliminate the interference among users of the dispatching users, and meanwhile, the interference to the dispatching users in adjacent neighborhoods is restrained. The collaboration dispatching and beamforming method based on the three-neighborhood collaboration cluster can effectively improve the spectral efficiency of border users, and can be widely applied to large-scale cellular networks.

Description

technical field [0001] The present invention relates to the field of standardization process of 3GPP LTE-Advanced (the long-term evolution follow-up of the Third Generation Partnership Project), in particular to a coordinated scheduling and beamforming (CS / CB) method in Coordinated Multipoint Transmission (CoMP) technology. Background technique [0002] Modern cells improve system capacity through global frequency reuse and miniaturization, making the cell edge area an interference-limited area. Cell-edge users are far away from the serving base station and are strongly interfered by adjacent cells, the spectrum efficiency is low, and it cannot be solved by multiple-input multiple-output (MIMO) and spatial multiplexing (SDMA). Although the inter-cell interference coordination (ICIC) method represented by soft frequency reuse can effectively mitigate inter-cell interference and improve the spectral efficiency of edge users, it is not the most suitable method at the cost of sa...

AI Technical Summary

Problems solved by technology

Cell edge users are far away from the serving base station and are strongly interfered by adjacent cells, the spectrum efficiency is low, and cannot be solved by multiple-input multiple-output (MIMO) and spatial multiplexing (SDMA)

Although the inter-cell interference coordination (ICIC) method represented by soft frequency reuse can effectively mitigate inter-cell interference and improve the spectral efficiency of edge users, it is not the most suitable method at the cost of sacrificing the performance of the entire network.

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