Dynamic clustering method for multi-base-station cooperation

Abstract

The invention provides a dynamic clustering method for multi-base-station cooperation. The method comprises the following steps that parameters are initialized, wherein the parameters comprises a base station set, users dispatched by each time slot and each base station and the distance between each user and the corresponding base station; downlink channel state information from each base station to all the users is calculated and a channel norm mutual information matrix is calculated according to channel norm mutual information; according to each given cluster, the base station with the maximum channel norm mutual information is selected from the candidate base station set to serve as a leading base station and the leading base station is deleted from the candidate base station set; according to the size of channel norm mutual information, to the leading base station, of the remaining users, the base stations with the large channel norm mutual information to the leading base station are selected and subsumed in one cluster, and the selected base stations are deleted from the candidate base station set until the number of the base stations in each cluster satisfies the size of the cluster. According to the dynamic clustering method for multi-base-station cooperation, one leading base station is arranged for each cluster and other base stations in each cluster are selected according to the leading base station so that the complexity of system clustering can be effectively reduced and the system energy efficiency can be improved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a dynamic clustering method capable of improving system energy efficiency. Background technique [0002] The rapid growth of wireless communication technology needs to consume more and more energy. The development of wireless communication and network technology in the future is faced with the dual constraints of resources and energy consumption. It is required to significantly reduce the energy consumption per unit of business while optimizing network resources, so as to create green communication and network. [0003] Multi-base station cooperation is also called multi-cell cooperation. Cooperation is introduced between multiple base stations, and some necessary information is shared through the backhaul link between the cooperative base stations, such as channel state information, scheduling information, and data information. Each base station is no ...

AI Technical Summary

Problems solved by technology

At present, most of the existing dynamic clustering methods are based on maximizing the system capacity, and the complexity is very high. The dynamic clustering method considering the system energy efficiency has not been involved in the existing literature and prior art.

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