Method of combined optimization of MLB and MRO in LTE-A heterogeneous network

Abstract

The invention requests a protection for a method and apparatus of combined optimization of MLB (mobility load balance) and MRO (mobility robustness optimization) in an LTE-A heterogeneous network, relates to the technical field of heterogeneous networks, and discloses an effective method which mainly aims at MLB optimization and also takes MRO optimization into consideration. In the LTE-A heterogeneous network, simple MLB execution or MRO execution may deteriorate the performance of the entire network, and if MLB execution and MRO execution both exist in a self-optimization module of the network, the same switch parameter may be adjusted to an opposite direction to lead to switch conflicts when algorithms of both the MLB and the MRO are executed since switch parameters of the MLB and the MRO will be adjusted. Therefore, improvements are made mainly from three aspects: firstly, a method of finding an optimum load distribution scheme on the basis of a cluster theory to determine load states of all nodes; secondly, a method of determining switch optimization types through relevant theories of a decision-making tree; and thirdly, a method of combined adaptive adjustment on relevant parameters of the MLB and the MRO according to a known decision.

Description

technical field [0001] The present invention relates to the technical field of mobile communication, in particular to a method for judging the load status of each node by using cluster correlation theory to obtain an optimal load redistribution scheme in an LTE-A heterogeneous cellular network, a method for judging a switching optimization type based on a decision tree theory, and a crossover method. Controls the method for adaptively adjusting switching parameters. Background technique [0002] With the rapid growth of mobile broadband services, the continuous expansion of network scale, and the complexity and diversification of network structures, traditional cellular networks continue to evolve into highly dense and irregular heterogeneous small cellular networks to further improve network coverage and system capacity. Improve user satisfaction. [0003] However, due to users randomly accessing and leaving in the network, and constantly moving in the network, and their b...

AI Technical Summary

Problems solved by technology

In the prior art, MLB and MRO are generally studied separately, and the joint optimization of the two is not considered comprehensively. In practice, when considering MLB alone, although a better load balancing effect is achieved, it may cause frequent user switching and even greatly improve the ping -The number of pong handovers deteriorates the mobile performance of users; considering MRO alone may cause waste of resources, local network congestion, etc.

[0005] In the process of researching the existing technology, the inventor found that the existing load balancing technology directly compares the current network load with the load threshold or with the load of adjacent cells, but does not obtain an optimal load redistribution scheme. Moreover, MLB or MRO is considered separately in the self-optimization module, which may lead to the deterioration of long-term network performance.

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