Small base station user resource allocation method based on dynamic clustering in super-dense network

Abstract

The invention relates to a small base station user resource allocation method based on dynamic clustering of small base stations in a super-dense network. The method comprises the steps of: accordingto the distance from the small base stations to cluster heads, allocating the small base stations into a cluster, where a closer cluster head is; according to the relationship of the clustering numberand the number of the small base stations and limitation by a clustering scheme input parameter, combining or splitting clustering results; modelling and resolving a resource allocation problem, andproviding an initial resource allocation scheme of small base station users according to key parameters in an optimal solution; and, performing compensation allocation for users, who do not have an optimal resource block. According to the method disclosed by the invention, on the premise that the system instruction overhead and the in-layer interference are reduced, dynamic clustering on the smallbase stations is carried out; inter-cluster reuse of resources is carried out; and thus, the user fairness is compatible while the system capacity and the system spectral efficiency are increased.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a small base station user resource allocation method based on small base station dynamic clustering in an ultra-dense network. Background technique [0002] From the use of 3G (third generation mobile communication) to the successful commercial use of 4G (fourth generation mobile communication), wireless communication technology is constantly developing and advancing. With the popularization of handheld terminal devices and the diversification of communication services, people's demand for communication services will show explosive growth in the future. From the perspective of business scenarios, 60% of mobile services and 70% of data services occur indoors and hot spots. The existing 4G mobile network has made great breakthroughs in solving user access rate, access quality, high-speed mobility support, and throughput improvement. However, the existing technologi...

AI Technical Summary

Problems solved by technology

[0005] The inventors found that in the prior art, the system signaling overhead in the interference management scheme under the centralized control mode of the macro base station will increase with the increase of the number of small base stations, and it is difficult for this method to be completely applied in an ultra-dense network environment; due to the small base station Deployment flexibility requires that the clustering scheme can dynamically cluster according to changes in the network topology; in addition, in the group-based interference management scheme, the intra-group orthogonal method is grouped from each small base station itself, and it is difficult to find a global best solution. grouping scheme for

At the same time, this allocation makes the number of small base stations in each cluster vary greatly

In the face of limited spectrum resources available in the system, some small base station users may not be distributed enough or not allocated spectrum resources, so that the user service quality cannot be guaranteed

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