Energy efficient resource distribution method based on interference coordination in ultra-dense wireless network

Abstract

The invention provides an energy efficient resource distribution algorithm based on interference coordination in an ultra-dense wireless network. A clustering-based ultra-dense wireless network is analyzed and given; inter-cluster and in-cluster interference coordination strategies are provided; inter-cluster interference coordination is carried out by adopting a graph colouring theory; and in-cluster interference coordination is carried out in a partial information interaction manner. The energy efficient resource distribution algorithm based on interference coordination in the ultra-dense wireless network is provided. Joint optimization of sub-channels and power of the ultra-dense wireless network is carried out through the algorithm. Firstly, the sub-channels are distributed by utilization of a user quality experience function and maximum and minimum algorithms; and secondly, optimization distribution of the power is carried out by optimizing an improved particle swarm algorithm, wherein to prevent particle swarm optimization from getting into local solution defect, a particle swarm optimization algorithm is improved by introducing damped vibration and fitness variation.

Description

technical field [0001] The invention designs an energy efficiency resource allocation algorithm based on interference coordination, which is suitable for ultra-dense wireless networks and belongs to the technical field of information communication. Background technique [0002] In recent years, with the rapid development of mobile communication technology, user service requirements and network structure have undergone tremendous changes. According to the survey, more than 30% and 70% of voice and data traffic demands are generated indoors respectively, and a large number of office areas and residential areas are facing the problem of indoor signal blind spots. In addition, the widespread popularity of mobile terminals such as smart devices and handheld tablets, and the increasing variety of applications have promoted the vigorous development of mobile networks. It is estimated that by 2020, the global mobile data volume will reach 15.9 billion, which is nearly 11 times that...

AI Technical Summary

Problems solved by technology

[0005] Technical problem: The purpose of the present invention is to provide an energy-efficient resource allocation algorithm based on interference coordination in ultra-dense wireless networks, which effectively solves the problem of inter-cluster and intra-cluster interference in ultra-dense wireless networks and improves network energy efficiency

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