Apparatus and method for determining wireless network capacitance of mobile communication network

Abstract

The invention discloses a wireless network capacity determining device and a method of a mobile communication network. The device comprises a data acquisition module, a basic prediction average value determining module, a fluctuation parameter determining module, a non-balance coefficient determining module and a stacking amendment module. The method firstly determines the basic prediction average value of the future traffic, the fluctuation parameters of the traffic and the non-balance coefficient of the traffic according to the acquired traffic in the determining process of the wireless network capacity, carries out the stacking amendment of the basic prediction average value according to the fluctuation parameters of the traffic and the non-balance coefficient of the traffic and finally obtains the wireless network capacity. By adopting the device and the method, the cost investment can be saved as far as possible under the premise of ensuring the wireless network capacity to meet the future traffic requirements and reduce the waste of wireless resources.

Description

technical field [0001] The invention relates to mobile communication technology, in particular to a wireless network capacity determining device and a wireless network capacity determining method of a mobile communication network. Background technique [0002] In a mobile communication network, before allocating wireless network resources for mobile communication services, it is necessary to determine the wireless network capacity, and then allocate corresponding wireless network resources according to the wireless network capacity. In the prior art, the method for determining the capacity of the wireless network is usually as follows: first determine the basic predicted mean value of future traffic, and then add a redundant amount to obtain the capacity of the wireless network. Wherein, the basic predicted mean value usually adopts the method of direct linear fitting prediction of the total amount of historical wireless traffic or the method of linear fitting based on busin...

AI Technical Summary

Problems solved by technology

[0006] 2. The existing technology ignores the probability and statistical characteristics of the total wireless network traffic as a random variable, so the calculated wireless network capacity cannot establish a clear quantitative relationship between the anti-fluctuation probability requirement and the wireless network capacity

[0007] 3. The existing technology cannot meet the requirements of the specific network operation and maintenance indicators of operators, that is, the network adjustment cycle, and cannot establish a clear physical relationship between the specific network operation and maintenance indicators and wireless network capacity.

[0008] 4. The determination of the wireless network capacity redundancy in the prior art lacks a quantitative basis, and is relatively rough and random

[0009] In a word, the wireless network capacity determination method in the prior art is difficult to scientifically cope with the fluctuation of the total amount of wireless network traffic and the unbalanced characteristics between cells, and the determined wireless network capacity is very random and rough, resulting in The final configuration of the wireless network capacity is too small so that the wireless resources cannot meet the needs of future traffic, causing business congestion, or it is easy to configure too large and cause excessive redundancy and waste of wireless resources even though it meets future business needs

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