Energy-efficient resource allocation method based on interference coordination for ultra-dense wireless networks

Abstract

The invention proposes an energy-efficient resource allocation algorithm based on interference coordination in an ultra-dense wireless network. The ultra-dense wireless network based on clustering is analyzed and presented, and the inter-cluster and intra-cluster interference coordination strategies are proposed: the graph theory coloring principle is used to coordinate inter-cluster interference and partial information interaction to coordinate intra-cluster interference. An energy-efficient resource allocation algorithm based on interference coordination in ultra-dense wireless networks is proposed, which jointly optimizes the subchannel and power of ultra-dense wireless networks. Firstly, the user quality experience function and the maximum-minimum algorithm are used to allocate the sub-channels; secondly, the improved particle swarm optimization algorithm is used to optimize the allocation of power. Among them, in order to prevent particle swarm optimization from falling into local solution defects, damping vibration and fitness variation are introduced to improve particle swarm optimization algorithm.

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...

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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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