Access point selection and resource distribution combined self-healing method in ultra-dense network

Abstract

The invention discloses an access point selection and resource distribution combined self-healing method in an ultra-dense network, and belongs to the field of the ultra-dense network. The method comprises following steps that firstly, a WNCU judges whether faults appear in access points or not; the WNCU records a name list of communication damaged users served by the access points and broadcasts the name list to adjacent access points if the faults appear in the access points; the adjacent access points divide self-healing subchannels from own normal subchannels dynamically; then, the communication damaged users select suitable adjacent access points so as to obtain service continuously according to self-healing channel dividing results and own speed requests; and finally the access points distribute resources to original users and newly accessing communication damaged users again by using a quantum particle swarm optimization algorithm. The method has the advantages that the self-healing function in the ultra-dense network is realized; when the faults appear in the access points, the service demands of the communication damaged users can be effectively ensured; the system energy efficiency is improved; and the operation cost is reduced.

Description

technical field [0001] The invention belongs to the field of ultra-dense networks, in particular to a self-healing method for joint access point selection and resource allocation in an ultra-dense network. Background technique [0002] In an ultra-dense network, dense network deployment makes the network topology more complex. In order to improve network management efficiency and reduce operating costs, self-organizing technology is introduced into the ultra-dense network to achieve intelligent and flexible network management. [0003] One of the three major functions of self-organizing technology is self-healing technology, which can alleviate or eliminate the adverse effects of network failures by taking certain restoration and compensation operations. Self-healing technology generally includes three parts, fault detection, analysis and recovery. Existing self-healing mechanisms mainly focus on fault detection and analysis, but less research on fault recovery. [0004] I...

AI Technical Summary

Problems solved by technology

However, in an ultra-dense network, the dense deployment of access points makes the network topology more complex. The existing technology does not consider the selection and optimization of access points, making it difficult for the traditional self-healing mechanism to apply to ultra-dense network scenarios

In addition, the resource allocation optimization of the traditional self-healing mechanism aims at maximizing the system throughput, without considering the optimization of energy efficiency

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