Method and system for optimizing wireless network resources

Abstract

The invention discloses a method and a system for wireless network resource optimization, wherein the method comprises: counting up cell level traffic data on the side of the network management of a wireless network, for obtaining binding network indicators; calculating a wireless comprehensive utilization rate of the cell; determining the binding network indicators of the voice service and data service most relevant with the wireless comprehensive utilization rate of the cell; determining a voice service degradation area and the data servicedegradation area; determining the corresponding relation between the wireless comprehensive utilization rate of the cell and the deterioration cell ratio in a condition of different hardware configurations and services; determining an expected deterioration cell ratio according to the binding network indicators; obtaining the best comprehensive utilization ratio based on the voice service and the data service in the condition of different hardware configurations and services; and weighing the best comprehensive utilization ratio based on the voice service and the data service, for obtaining the best comprehensive utilization ratio of the wireless network. According to the technical scheme of the invention, network service capability is performed to the maximum, meanwhile, the method is updated based on network status, resources are adjusted dynamically.

Description

technical field [0001] The invention relates to the technical field of mobile communication, in particular to a method and system for optimizing wireless network resources. Background technique [0002] Currently, the development of mobile communication networks is in a period of transition. With the gradual slowdown of user growth and the intensification of competition, operators are paying more and more attention to quality, cost and service. Evaluating and optimizing network resource allocation to improve network service capabilities and service quality has become the core competitiveness of operators. The period of relying on large-scale new base stations and switches to increase network carrying capacity has passed, and the increase of wireless network carrying capacity will be mainly carried out through resource optimization configuration, which is specifically manifested in the basis of satisfying restrictive network index assessment and ensuring user perception. Imp...

AI Technical Summary

Problems solved by technology

[0004] However, this solution has the following problems: First, the unbalanced voice coefficient during busy hours of the cell and the unbalanced data coefficient during busy hours of the cell reflect the unbalanced coefficient in the sense of the entire network, and the final calculation result of this scheme is the wireless utilization rate of the entire network. No key points and pre-protection points are proposed for the optimal utilization of cells with different hardware configurations and business methods

Second, query the Irish B table based on the call loss rate to obtain the traffic capacity that needs to be configured for the entire network. The Irish B table is a theoretical calculation value that cannot reflect the impact of network coverage and interference on the network carrying capacity. At the same time, the Irish B table is not suitable for users with Data service with multiplexing characteristics

Third, the service quality of the wireless network is measured by network KPI indicators and user perception. The solution does not clarify the correlation between the wireless comprehensive utilization rate obtained through the solution method and the measurement standard.

[0005] The above technical solutions cannot maximize the evaluation of network service capabilities, and cannot rationally optimize the allocation of resources for dynamic business proportions and network quality

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