Allocation method for wireless resources of ultra dense network based on dynamic clustering

Abstract

The invention discloses an allocation method for wireless resources of an ultra dense network based on dynamic clustering. The allocation method comprises a base station dynamic clustering process and a resource block allocating process, and is characterized in that in the base station dynamic clustering process, dynamic clustering is performed on base stations randomly distributed in the network, a lot of base stations in the network are clustered according to an improved K-mean clustering method, and an effective allocation space is provided for inter-cluster resource block allocation of different modes of users; and in the resource block allocating process, joint processing is performed on single base station resource allocation of center users and inter-cluster CoMP resource allocation of edge users according to a clustering result in the step one, resource blocks with an excellent channel state of the base stations are allocated preferentially in clusters where the users are located according a provided proportional fairness based resource block allocation method, the received interference is reduced at the same time, the proportional fairness among the different modes of users is ensured, and an optimal resource block allocation result is acquired. The method disclosed by the invention can effectively improve the sum rate of the system users and achieves an ultimate objective of overall network resource optimization.

Description

Wireless resource allocation method for ultra-dense network based on dynamic clustering technical field The invention relates to a method for allocating wireless resources in an ultra-dense network based on dynamic clustering, and belongs to the field of clustering and resource allocation of base stations in wireless communication systems. Background technique With the exponential growth of the number of users and bandwidth requirements, mobile cellular networks are facing enormous challenges. In order to improve the overall network capacity and meet the demand of explosive data traffic, a feasible method is to increase the density of network access points, that is, to deploy dense small cells in the coverage area of ​​macro cells. As the density of network nodes gradually increases, an ultra-dense network (Ultra Dense Network, UDN) will eventually be formed. The ultra-dense network will break the inherent pattern of the traditional cellular network, divert a large amount...

AI Technical Summary

Problems solved by technology

In order to overcome the shortcomings of insufficient dynamics and poor scalability in the existing resource allocation methods, the technical problem to be solved by the present invention is to provide a dynamic clustering-based ultra-dense network wireless resource allocation method

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